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Feb 26, 2026

Austin, TX

|

Data Warehousing

|

Contract

|

$14 - $17 (hourly estimate)

{"JobID":499817,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-97.74,"Longitude":30.26,"Distance":null},"State":"Texas","Zip":"78729","ReferenceID":"AUS-c0b3d739-c97f-4f4d-ab09-86750bca86d9","PostedDate":"\/Date(1772111786000)\/","Description":"The client is seeking two Senior or Lead-level AI/ML Engineers to support the design, development, and integration of AI capabilities within an AWS-centric ecosystem. This role will focus on building and operating MCP servers, optimizing small language models (SLMs), and enabling agent-based workflows aligned to near-term (Q2) use cases.Engineers will work hands-on with requirements, documentation, configurations, and multiple data sources to design scalable AI services. The role also involves supporting data traversal and transformations, integrating with Snowflake-backed pipelines, and ensuring solutions align with existing AWS hosting and integration patterns (including AWS Bedrock). Candidates must be local to India and able to work onsite 3 days per week.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AI/ML Engineer - INT\u0027L India","City":"Austin","ExpirationDate":null,"PriorityOrder":0,"Requirements":"*4+ years of experience in AI/ML engineering* Strong hands-on experience with AWS, including AWS Bedrock* Experience building and managing MCP servers* Exposure to LLMs, ML models, and AI system architecture*Strong Python programming skills*Experience working on at least 1?2 AI/ML projects*Experience with data processing, transformations, and Snowflake*Ability to work from office 3 days per week (India)","Skills":"*Experience leading or owning AI/ML components*Experience optimizing SLMs and agent workflows*Exposure to enterprise-scale AI platformsMentoring or technical guidance experience","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":17.0000,"SalaryLow":13.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The client is seeking two Senior or Lead-level AI/ML Engineers to support the design, development, and integration of AI capabilities within an AWS-centric ecosystem. This role will focus on building... and operating MCP servers, optimizing small language models (SLMs), and enabling agent-based workflows aligned to near-term (Q2) use cases.Engineers will work hands-on with requirements, documentation, configurations, and multiple data sources to design scalable AI services. The role also involves supporting data traversal and transformations, integrating with Snowflake-backed pipelines, and ensuring solutions align with existing AWS hosting and integration patterns (including AWS Bedrock). Candidates must be local to India and able to work onsite 3 days per week.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 30, 2026

Palo Alto, CA

|

Software Engineering

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Perm

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$200k - $240k (estimate)

{"JobID":512887,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-122.15,"Longitude":37.44,"Distance":null},"State":"California","Zip":"94301","ReferenceID":"LAX-056b8cb4-921f-49ba-8a3e-aa41a44dfdff","PostedDate":"\/Date(1774912812000)\/","Description":"A technology company is seeking a GenAI Developer to design and deploy AI-powered workflows in real-world production environments. The ideal candidate has strong Python backend experience and hands-on expertise building GenAI solutions such as chatbots, RAG pipelines, and agent-based systems using enterprise LLMs. This role partners closely with engineering and product teams to bring GenAI capabilities into business-critical applications. 3-4 days a week onsite in Palo Alto, CA. ? Build and maintain backend services using Python for business applications? Develop and integrate GenAI capabilities into production applications? Work with LLMs (GPT, Google Gemini) within real-world workflows? Design and implement agent-based solutions to solve complex problems? Collaborate closely with a ~30-person team across engineering and product? Communicate technical decisions clearly to teammates and stakeholdersWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr Gen Ai Engineer","City":"Palo Alto","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Strong backend Python development experience (PyTorch, Pandas, NumPy, etc.)? 7 years of total experience? Experience designing GenAI-powered workflows end-to-end? Experience building and deploying GenAI-powered applications in real-world environments? Hands-on experience with LLMs from enterprise providers (e.g., OpenAI, Google)? Experience implementing: ? Chatbots? RAG pipelines? Agent-based systems (primary focus)? Experience designing end-to-end GenAI workflows, from input to output? Familiarity with machine learning concepts, including training and fine-tuning models? Cloud development experience supporting AI-driven applications","Skills":"? Proven experience building complex business logic in Python? Azure cloud experience? Comfortable in a startup culture ? Bachelor\u0027s or Master\u0027s in Computer Science, Engineering, or a related field","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":240000.0000,"SalaryLow":200000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

A technology company is seeking a GenAI Developer to design and deploy AI-powered workflows in real-world production environments. The ideal candidate has strong Python backend experience and... hands-on expertise building GenAI solutions such as chatbots, RAG pipelines, and agent-based systems using enterprise LLMs. This role partners closely with engineering and product teams to bring GenAI capabilities into business-critical applications. 3-4 days a week onsite in Palo Alto, CA. ? Build and maintain backend services using Python for business applications? Develop and integrate GenAI capabilities into production applications? Work with LLMs (GPT, Google Gemini) within real-world workflows? Design and implement agent-based solutions to solve complex problems? Collaborate closely with a ~30-person team across engineering and product? Communicate technical decisions clearly to teammates and stakeholdersWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 22, 2026

The Woodlands, TX

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Data Warehousing

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Perm

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$140k - $170k (estimate)

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?Design, build, and deploy end to end, multi step agentic AI systems that replace or reimagine DBS business workflows. ?Architect agent pipelines using tool calling, memory, retrieval augmented... generation, and orchestration patterns appropriate to workflow risk and complexity. ?Implement human in the loop and escalation mechanisms for high risk or low confidence decisions. ?Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security and data governance policies. ?Ensure strong data grounding, output quality, reliability, and graceful failure behavior in production systems. ?Select appropriate GenAI frameworks and manage LLM integrations, prompts, and model versions. ?Own delivery end to end from rapid prototype through pilot and production deployment. ?Work closely with process owners, domain experts, and governance partners to deliver trusted, usable solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 29, 2026

Plano, TX

|

Software Engineering

|

Perm

|

$80k - $130k (estimate)

{"JobID":535718,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-96.74,"Longitude":33.04,"Distance":null},"State":"Texas","Zip":"75093","ReferenceID":"TPA-a138d859-afdc-4a78-9fab-a7b476098b78","PostedDate":"\/Date(1780083613000)\/","Description":"Insight Global is seeking a Senior Cloud Engineer, you will consult and contribute to business process improvements of IT policies, procedures, tools, security controls and infrastructure. You will also conduct research and Proof of Concept activities and provide recommendations for new technologies, techniques and tools to add value by increasing efficiency while improving service quality. The Azure Cloud Engineer will maintain the operational Azure cloud environment, perform infrastructure deployments and ensure the production environment is operating securely and efficiently using automation tools. You will work with Infrastructure Engineering to make sure all deployments follow standards, are compliant and secure. You will also be partnered with other cloud team members, application owners and business owners for faster delivery of resources. You will report to the Cloud Platform Team Lead. The Day-to-Day:?Develop, implement and maintain scalable, high-performance AI infrastructure on Microsoft Azure platform?Collaborate with business stakeholders to understand their AI requirements and design effective AI solutions?Provide technical expertise and support troubleshooting AI-related issues and performance bottlenecks?Recommend AI based solutions, document and communicate to technical and non-technical stakeholders effectively?Design and manage scalable and resilient cloud infrastructure and automation tooling for routine operation tasks?Deploy enterprise scaled cloud resources that can be used across technology organizations using code?Be the contact to business application owners and build bridge between them and cloud team?Follow security audit requirements and controls in every action?Implement and suggest strategies in Infrastructure as Code (IaC), CI/CD, develop tooling and associated processes for applying automated, faster, efficient, and consistent error-free deployments?Enhance existing deployment processes and Infrastructure as Code scripts to improve automation, efficiency, and consistency?Participate in team activities such as peer code reviews, design collaboration efforts and rotating on-call process?Use configuration management and automated deployment tools to provide cloud-based solutions and services ensuring best practices?Work with solution architects, tech leads and partners to confirm developed solutions align with existing standards, meet security controls and meet cloud computing best practices?Collaborate with other engineers, provide guidance and training?Manage implementations and ongoing operation of cloud services following approved designs, adherence to patterns, security requirements and certify all logging and monitoring are active for security and compliance?Investigate and monitor current-state cloud usage, solutions in use, risks, gaps, limitations and recommend solutions, optimizations and remediation?Maintain comprehensive and systematic configuration, lifecycle and security management of servers and services?Provide international and 24/7 support via on-call duties and/or working a flexible off-hours schedule for planned and unplanned maintenanceWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Azure AI Cloud Engineer","City":"Plano","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-10+ years Azure Cloud Engineering experience-5+ years of experience with the following:oAzure cloud infrastructure deployments using IaCoBuilding, deploying and managing public cloud IaaS and PaaS servicesoDeploying resources using Terraform-Need to have at least 6 months to a year of professional working experience within Azure AI (cannot be course work or freelance projects)oMust have experience with Deployments of ML models-VERY STRONG Terraform experienceoQuestions will be focused around?Secret Handling (Terraform Secrets)?IAC Structure and Design?Terraform State Management?Automation Knowledge-CICD experience-4+ years of experience in the following:oGitHub and GitHub Actions?YAML/YML for GitHub actions","Skills":"-Experience with Azure IaaS (Virtual Machines, Storage, Networking) and PaaS (App Services, Azure SQL, Azure Functions, Azu","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":130000.0000,"SalaryLow":80000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a Senior Cloud Engineer, you will consult and contribute to business process improvements of IT policies, procedures, tools, security controls and infrastructure. You will... also conduct research and Proof of Concept activities and provide recommendations for new technologies, techniques and tools to add value by increasing efficiency while improving service quality. The Azure Cloud Engineer will maintain the operational Azure cloud environment, perform infrastructure deployments and ensure the production environment is operating securely and efficiently using automation tools. You will work with Infrastructure Engineering to make sure all deployments follow standards, are compliant and secure. You will also be partnered with other cloud team members, application owners and business owners for faster delivery of resources. You will report to the Cloud Platform Team Lead. The Day-to-Day:?Develop, implement and maintain scalable, high-performance AI infrastructure on Microsoft Azure platform?Collaborate with business stakeholders to understand their AI requirements and design effective AI solutions?Provide technical expertise and support troubleshooting AI-related issues and performance bottlenecks?Recommend AI based solutions, document and communicate to technical and non-technical stakeholders effectively?Design and manage scalable and resilient cloud infrastructure and automation tooling for routine operation tasks?Deploy enterprise scaled cloud resources that can be used across technology organizations using code?Be the contact to business application owners and build bridge between them and cloud team?Follow security audit requirements and controls in every action?Implement and suggest strategies in Infrastructure as Code (IaC), CI/CD, develop tooling and associated processes for applying automated, faster, efficient, and consistent error-free deployments?Enhance existing deployment processes and Infrastructure as Code scripts to improve automation, efficiency, and consistency?Participate in team activities such as peer code reviews, design collaboration efforts and rotating on-call process?Use configuration management and automated deployment tools to provide cloud-based solutions and services ensuring best practices?Work with solution architects, tech leads and partners to confirm developed solutions align with existing standards, meet security controls and meet cloud computing best practices?Collaborate with other engineers, provide guidance and training?Manage implementations and ongoing operation of cloud services following approved designs, adherence to patterns, security requirements and certify all logging and monitoring are active for security and compliance?Investigate and monitor current-state cloud usage, solutions in use, risks, gaps, limitations and recommend solutions, optimizations and remediation?Maintain comprehensive and systematic configuration, lifecycle and security management of servers and services?Provide international and 24/7 support via on-call duties and/or working a flexible off-hours schedule for planned and unplanned maintenanceWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jan 29, 2026

Burnaby, BC

|

Software Engineering

|

Perm

|

$178k - $200k (estimate)

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Your work will be actively used by internal teams, powering live services, analytics, personalization, and player facing AI capabilities. Key responsibilities include:?Design, build, and operate production AI platforms supporting the full ML lifecycle: data ingestion, training, validation, deployment, monitoring, and iteration?Own systems end to end?from initial architecture to deployment, observability, optimization, and long term maintenance in a live environment?Deploy and host ML models as services (cloud or bare metal with GPUs), ensuring reliability, performance, and operational readiness?Build containerized, scalable infrastructure using Docker and Kubernetes (or ECS/GKE), including cluster management, autoscaling, and resource optimization?Implement MLOps workflows: CI/CD, model versioning, rollout/rollback strategies, metrics, alerts, and drift detection?Provision and manage cloud infrastructure using Terraform, with hands on knowledge of core cloud components (compute, load balancing, storage, IAM/policies)?Partner with game engineers, ML engineers, and data teams to translate real production needs into reusable platform capabilities?Establish standards for reliability, observability, cost efficiency, and security across the platform?Mentor other engineers, reviewing architecture and guiding best practices for production ML systemsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Software Engineer (AI Platform)","City":"Burnaby","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?5+ years of professional experience building production systems that are actively in use (e.g., processing real traffic, supporting live users, or powering internal teams)?Demonstrated ownership of systems from scratch through deployment and ongoing operation (monitoring, metrics, alerts, iteration etc.)?Hands on experience with ML model development or fine tuning (e.g., deep learning models, LLMs, diffusion models) and improving model performance or efficiency?Experience deploying ML models to production (cloud or bare metal), not just local experimentation?Solid experience with: oDocker and Kubernetes (or ECS/GKE)oCloud platforms (AWS, GCP, or Azure)oInfrastructure as Code (Terraform preferred)?Proven ability to describe concrete outcomes: what you built, how it was used, what improved (performance, cost, accuracy, reliability, scale etc.)","Skills":"?Experience with live service games, real time systems, or high throughput platforms (e.g., recommendations, search, fraud detection)?Experience building internal, multi tenant platforms or shared services?Exposure to Generative AI in production environments (e.g., content generation, agents, personalization)?Understanding of latency and performance trade offs in large scale systems?Experience enabling other teams to adopt platforms successfully (documentation, tooling, change management)","Industry":"Software Engineering","Country":"Canada","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":199900.0000,"SalaryLow":178000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is looking for a Senior Software Engineer (AI Platform) to join an enterprise AAA game company hybrid out of Vancouver BC on a permanent basis. The Senior Software Engineer will help... build and operate a centralized AI platform used across multiple AAA game franchises. This role is focused on production systems?from scratch through deployment and long term operation?not research or application level feature development. The AI Platform team provides shared infrastructure, tooling, and services that enable teams to train, deploy, monitor, and operate AI and Generative AI models at scale. Your work will be actively used by internal teams, powering live services, analytics, personalization, and player facing AI capabilities. Key responsibilities include:?Design, build, and operate production AI platforms supporting the full ML lifecycle: data ingestion, training, validation, deployment, monitoring, and iteration?Own systems end to end?from initial architecture to deployment, observability, optimization, and long term maintenance in a live environment?Deploy and host ML models as services (cloud or bare metal with GPUs), ensuring reliability, performance, and operational readiness?Build containerized, scalable infrastructure using Docker and Kubernetes (or ECS/GKE), including cluster management, autoscaling, and resource optimization?Implement MLOps workflows: CI/CD, model versioning, rollout/rollback strategies, metrics, alerts, and drift detection?Provision and manage cloud infrastructure using Terraform, with hands on knowledge of core cloud components (compute, load balancing, storage, IAM/policies)?Partner with game engineers, ML engineers, and data teams to translate real production needs into reusable platform capabilities?Establish standards for reliability, observability, cost efficiency, and security across the platform?Mentor other engineers, reviewing architecture and guiding best practices for production ML systemsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jun 12, 2026

Chicago, IL

|

Software Engineering

|

Contract

|

$12 - $15 (hourly estimate)

{"JobID":541082,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-87.68,"Longitude":41.83,"Distance":null},"State":"Illinois","Zip":"60607","ReferenceID":"CHI-58748304-9bb2-4fc4-8c8f-fdc2f88989d9","PostedDate":"\/Date(1781290448000)\/","Description":"We?re looking for a hands-on AI/ML Engineer to build and deploy production-grade machine learning solutions focused on extracting structured data from large, complex documents (e.g., multi-thousand-page PDFs).This role will work across global teams (US, EU, India) and play a key part in scaling intelligent document processing using Python, AWS, and GenAI. The ideal candidate has strong experience taking ML models from concept to production and can operate confidently across the full ML pipeline with a focus on performance, scalability, and data quality.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior AI / ML Engineer","City":"Chicago","ExpirationDate":null,"PriorityOrder":0,"Requirements":"3?4+ years of experience in Machine Learning Engineering / applied AIStrong proficiency in Python (including ML/data libraries) [Senior ML...igence (1) | Word]Solid experience with SQL and data modeling [Senior ML...igence (1) | Word]Proven experience deploying ML models into production environmentsHands-on experience building end-to-end ML pipelinesExperience with GenAI applications, including:Prompt engineeringModel selection and evaluationDeployment and monitoringExperience working with AWS for ML systems (e.g., SageMaker, Lambda, Step Functions) [Senior ML...igence (1) | Word]Strong understanding of scalability and cost optimization in cloud environmentsAbility to clearly articulate past projects and technical decisionsSelf-starter mindset with ability to work autonomously in a highly hands-on (~80% technical) role","Skills":"Experience with multimodal ML (text + image processing)Experience with document intelligence / OCR tools (Textract, Azure Document Intelligence, etc.) Familiarity with RAG, transformers, or large language models (LLMs) Experience processing large PDFs and image-based data (e.g., PyMuPDF, OpenCV, Pillow) Background in document classification, segmentation, or extraction systems Experience with evaluation frameworks, experimentation, or hypothesis testing Exposure to big data tools on AWS (S3, Redshift, EMR, Glue)Domain experience in insurance or healthcare","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":15.0000,"SalaryLow":12.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We?re looking for a hands-on AI/ML Engineer to build and deploy production-grade machine learning solutions focused on extracting structured data from large, complex documents (e.g.,... multi-thousand-page PDFs).This role will work across global teams (US, EU, India) and play a key part in scaling intelligent document processing using Python, AWS, and GenAI. The ideal candidate has strong experience taking ML models from concept to production and can operate confidently across the full ML pipeline with a focus on performance, scalability, and data quality.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 11, 2026

Buffalo Grove, IL

|

Programmer / Developer

|

Contract-to-perm

|

$50 - $62 (hourly estimate)

{"JobID":505584,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-87.96,"Longitude":42.16,"Distance":null},"State":"Illinois","Zip":"60089","ReferenceID":"CHI-57c10016-7802-4812-a804-11619a03049b","PostedDate":"\/Date(1773265511000)\/","Description":"Own end-to-end ML/AI projects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration.?Build and productionize agentic workflows (tool-using/multi-step agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability.?Train classical ML models (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate.?Operationalize models with CI/CD, feature stores, reproducible training, and model registries?Monitor and improve live systems: data \u0026 concept drift detection, performance regression, bias/fairness, cost/latency; drive remediation playbooks.?Partner cross-functionally with product, data, and platform teams; write clear design docs?Work as an Individual contributor with minimal directions?Should be able to interact with stakeholders, understand the problem statement, and come up with solutionsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AI/ML Engineer","City":"Buffalo Grove","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Minimum 6+ years hands-on ML engineering (with significant ML experience prior to 2023): you?ve shipped multiple ML systems to production. *Not looking for someone who started working on AI after pre-trained models/ChatGPT were released*?Minimum 12+ years of total experience in Software Development, preferably with a Data Analyst/Data Scientist background?Demonstrated production agent build (at least one end-to-end agentic framework delivered to users).?Strong with classical ML: feature engineering, cross-validation, calibration, regularization, class imbalance, interpretability (SHAP/LIME), time-series (forecasting, seasonality, drift).?Solid deep learning foundations (CNN/RNN/Transformers), and practical fine-tuning experience (e.g., LoRA/QLoRA, instruction tuning, RAG).?Proven MLOps: model registry/experiment tracking (MLflow or equivalent), model serving (FastAPI/TF-Serving/TorchServe/TGI/vLLM), observability.?Fluency in Python and the ML stack (NumPy/Pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).?Excellent communication; can drive projects independently as an Individual Contributor.?Must have?Experience with agent frameworks (LangGraph/LangChain Agents, AutoGen, Google ADK) and tool use (function calling, tool routing, planners).?Retrieval/RAG design: chunking strategies, embedding models, vector stores (FAISS, Pinecone, Weaviate), hybrid search, evals.?Must have implemented projects involving some classical ML problems(classification, clustering, regression, anomaly detection, time series etc.,)?Some working experience with Cloud services, CI/CD and Microservices","Skills":"?Experience leading/mentoring junior data scientists or ML engineers is a plus?Experience fine tuning SLMs is a huge plus","Industry":"Programmer / Developer","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":62.0000,"SalaryLow":49.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Own end-to-end ML/AI projects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration.?Build and productionize agentic workflows (tool-using/multi-step... agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability.?Train classical ML models (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate.?Operationalize models with CI/CD, feature stores, reproducible training, and model registries?Monitor and improve live systems: data & concept drift detection, performance regression, bias/fairness, cost/latency; drive remediation playbooks.?Partner cross-functionally with product, data, and platform teams; write clear design docs?Work as an Individual contributor with minimal directions?Should be able to interact with stakeholders, understand the problem statement, and come up with solutionsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 15, 2026

Orlando, FL

|

Software Engineering

|

Contract

|

$12 - $15 (hourly estimate)

{"JobID":530913,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-81.37,"Longitude":28.5,"Distance":null},"State":"Florida","Zip":"32839","ReferenceID":"ORL-76fedec0-0011-4eb2-99df-dbd001aa2c8a","PostedDate":"\/Date(1778864102000)\/","Description":"We?re seeking a skilled AI Engineer to design, build, and deploy autonomous AI agents and production-ready applications that enhance Data Science and BI capabilities. This role partners with Data Science, Product, Engineering, and Analytics to deliver scalable, agent-based solutions across the business.The ideal candidate has strong experience with LLMs, multi-agent systems, and RAG, along with hands-on use of tools like Cursor and GitHub Copilot. You?ll develop and maintain agent workflows that automate complex processes while ensuring security, reliability, and responsible AI standards.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"INDIA - SQL and AI Engineer","City":"Orlando","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?5?8+ years of hands-on experience in AI/ML engineering, applied machine learning, or AI application development.?Expert Python and strong software engineering practices (testing, packaging, code review, version control).?Proven experience building AI agents using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar.?Proficiency with AI-assisted development tools (Cursor, GitHub Copilot) for rapid, high-quality application development including agent mode, rules configuration, and context management.?Experience with prompt engineering, RAG architectures, vector databases, and LLM API integration (OpenAI, Azure OpenAI, Anthropic).","Skills":"","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":15.0000,"SalaryLow":12.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We?re seeking a skilled AI Engineer to design, build, and deploy autonomous AI agents and production-ready applications that enhance Data Science and BI capabilities. This role partners with Data... Science, Product, Engineering, and Analytics to deliver scalable, agent-based solutions across the business.The ideal candidate has strong experience with LLMs, multi-agent systems, and RAG, along with hands-on use of tools like Cursor and GitHub Copilot. You?ll develop and maintain agent workflows that automate complex processes while ensuring security, reliability, and responsible AI standards.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jan 22, 2026

Denver, CO

|

Software Engineering

|

Perm

|

$112k - $135k (estimate)

{"JobID":485434,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-104.87,"Longitude":39.76,"Distance":null},"State":"Colorado","Zip":"80206","ReferenceID":"DEN-df88b19b-78af-4786-9e9b-0d03f632f75c","PostedDate":"\/Date(1769087319000)\/","Description":"A client of Insight Global\u0027s is looking to hire a DevOps AI Engineer to join their team. This person will be responsible for the design, development, and deployment of AI agents and ML systems. The agents and systems will be used to automate tasks within this organization and cross other internal teams. This organization is in initial stages of implementing AI into its devops environment. Additionally, you\u0027ll be responsible for managing IaC, their hybrid cloud environment, and partner with security teams to ensure compliance. This role is onsite 4x a week in Denver. This is a direct hire opportunity with a salary range of $112K to $135k.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Software Engineer 2 - AI DevOps Engineer","City":"Denver","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- 3 Years of experience in devops, fullstack engineering, or backend engineering doing programming in python, java, or scala. - 2 years of experience building AI/ML systems or agents using ML frameworks such as TensorFlow, scikitlearn, pytorch, or similar. - Experience doing production deployments in AWS, containerization in Docker, and orchestration in Kubernetes. - Understanding of data engineering practices like data modeling and warehousing using data bricks, spark, Kafka, and SQL.","Skills":"Experience in media, streaming, adtech, or martech industries.","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":135000.0000,"SalaryLow":112000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

A client of Insight Global's is looking to hire a DevOps AI Engineer to join their team. This person will be responsible for the design, development, and deployment of AI agents and ML systems. The... agents and systems will be used to automate tasks within this organization and cross other internal teams. This organization is in initial stages of implementing AI into its devops environment. Additionally, you'll be responsible for managing IaC, their hybrid cloud environment, and partner with security teams to ensure compliance. This role is onsite 4x a week in Denver. This is a direct hire opportunity with a salary range of $112K to $135k.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 09, 2026

Stamford, CT

|

Programmer / Developer

|

Contract,Perm Possible

|

$50 - $62 (hourly estimate)

{"JobID":492629,"JobType":["Contract,Perm Possible"],"EmployerID":null,"Location":{"Latitude":-73.5422,"Longitude":41.0541,"Distance":null},"State":"Connecticut","Zip":"06902","ReferenceID":"POR-6986518a-864a-413d-a5dc-8918210a41e3","PostedDate":"\/Date(1770674842000)\/","Description":"We are looking for a motivated and adaptable AI Engineer to help design, build, and deliver AI-powered features in a fast-paced environment. In this role, you will work closely with product managers, senior AI engineers, and AI platform engineers to bring evolving ideas to life while maintaining strong standards for security, correctness, and reliability.This role is well-suited for an engineer who is comfortable with change, eager to learn, and excited to contribute to real-world AI features.ResponsibilitiesAI Feature Development?Contribute to the development and delivery of AI-powered features and services.?Implement solutions based on evolving requirements and changing priorities.?Assist with prototyping, experimentation, and iteration under the guidance of senior engineers.?Help move AI solutions from prototype to production-ready implementations.Collaboration \u0026 Execution?Work closely with product managers to understand feature goals and user needs.?Collaborate with senior AI engineers and AI platform engineers to leverage shared tools, infrastructure, and best practices.?Participate in design discussions and technical reviews.?Adapt quickly to changing direction while maintaining focus on delivery.Engineering Quality \u0026 Security?Follow established engineering standards for security, data handling, and access control.?Write clean, testable, and maintainable code.?Assist in implementing monitoring, logging, and basic evaluation for AI features.?Help identify and troubleshoot issues related to performance, reliability, or model behavior.AI Systems \u0026 Integration?Build and integrate AI solutions using techniques such as LLMs, APIs, and retrieval-based approaches.?Implement and iterate on prompts, workflows, and evaluation logic.?Integrate AI capabilities into existing applications and services.?Learn and apply best practices for deploying and operating AI systems in production.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"AI Engineer (Hybrid in NYC or CT)","City":"Stamford","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?3?5 years of professional software engineering experience, with exposure to AI or ML systems and concepts.?Proficiency in Python or a similar language, Javascript or Typescript frameworks for UI rendering.?Experience integrating APIs or third-party AI services.?Comfort working in fast-paced environments with changing priorities.?Solid understanding of software engineering fundamentals (APIs, testing, version control).?Awareness of security and data privacy considerations.","Skills":"?Experience with LLMs or modern AI frameworks.?Familiarity with cloud platforms and deploying services in production.?Exposure to prompt engineering, evaluation techniques, or AI monitoring.?Experience working on cross-functional product teams.","Industry":"Programmer / Developer","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":62.0000,"SalaryLow":49.6000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

We are looking for a motivated and adaptable AI Engineer to help design, build, and deliver AI-powered features in a fast-paced environment. In this role, you will work closely with product managers,... senior AI engineers, and AI platform engineers to bring evolving ideas to life while maintaining strong standards for security, correctness, and reliability.This role is well-suited for an engineer who is comfortable with change, eager to learn, and excited to contribute to real-world AI features.ResponsibilitiesAI Feature Development?Contribute to the development and delivery of AI-powered features and services.?Implement solutions based on evolving requirements and changing priorities.?Assist with prototyping, experimentation, and iteration under the guidance of senior engineers.?Help move AI solutions from prototype to production-ready implementations.Collaboration & Execution?Work closely with product managers to understand feature goals and user needs.?Collaborate with senior AI engineers and AI platform engineers to leverage shared tools, infrastructure, and best practices.?Participate in design discussions and technical reviews.?Adapt quickly to changing direction while maintaining focus on delivery.Engineering Quality & Security?Follow established engineering standards for security, data handling, and access control.?Write clean, testable, and maintainable code.?Assist in implementing monitoring, logging, and basic evaluation for AI features.?Help identify and troubleshoot issues related to performance, reliability, or model behavior.AI Systems & Integration?Build and integrate AI solutions using techniques such as LLMs, APIs, and retrieval-based approaches.?Implement and iterate on prompts, workflows, and evaluation logic.?Integrate AI capabilities into existing applications and services.?Learn and apply best practices for deploying and operating AI systems in production.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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