Job Search Results for AI engineer
Feb 04, 2026
Irvine, CA
|
Software Engineering
|
Perm
|
$200k - $250k (estimate)
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A client in the Irvine CA area is seeking an AI Engineer to join their team for a full-time opportunity. This position can sit remote in PST timezone, however expected to travel to client office in... Irvine 1x a month. This role focuses on designing and developing cutting-edge software solutions using AI-First development tooling. We are looking for an AI-Powered Software Engineer who treats AI agents as a primary development tool ? crafting prompts, orchestrating agentic workflows, and rapidly prototyping solutions that shape future products. The ideal candidate has previous Innovation team and/or start-up experience using AI development technologies.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 27, 2026
Nebraska City, NE
|
Architect
|
Contract
|
$97 - $121 (hourly estimate)
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A large enterprise client is seeking a Senior AI Architect to help establish an internal AI foundation and operating model. This role focuses on developing an enterprise AI Playbook, defining AI... architecture and governance, and enabling internal teams as the organization scales AI capabilities.Responsibilities include designing AI architecture patterns, evaluating and selecting open-source AI frameworks, defining AI intake and deployment processes, and providing hands-on guidance to engineering teams. A core component of this role is training and mentoring four internal engineers as they transition into AI Engineer roles through April. The consultant will also facilitate alignment across software delivery, DevOps, security, and legal stakeholders.This is a short-term engagement designed to build a durable foundation and transfer knowledge, with the intent to phase out external consulting over time.Contract: 3?4 months? First 2 weeks full-time discoveryOngoing: ~6 hours or more/weekPay Rate: 100-120/hrLocation: RemoteWe 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 13, 2026
Lehi, UT
|
Computer Engineering
|
Contract
|
$48 - $60 (hourly estimate)
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Responsibilities:?Validate that AI models meet performance benchmarks (accuracy, precision, recall, etc.). ?Detect and mitigate bias in datasets and model predictions.?Identify potential risks in AI... systems (e.g., harmful outputs, adversarial attacks).?Implement safeguards to prevent unintended consequences.?Ensure compliance with safety standards and regulations ?Continuously monitor AI systems in production for anomalies or drift.?Audit decision-making processes for transparency and explainability.?Document testing procedures and safety measures for accountability.?Ensure AI systems align with ethical principles (fairness, accountability, transparency).?Work with legal and compliance teams to meet regulatory requirements.?Partner with data scientists, ML engineers, and product teams to integrate safety checks.Day to Day:One of Insight Global?s clients is seeking an AI Quality and Safety Engineer to join their team. In this role, the engineer will review system dashboards to monitor AI models in production, evaluating them for anomalies, performance drift, and safety alerts. They will assess potential risks within AI systems, including harmful outputs or adversarial attacks, and implement safeguards to prevent unintended consequences. They will also conduct stress tests on new models to validate accuracy, fairness, and robustness, as well as perform risk assessments to identify potential failure scenarios and document mitigation strategies. Additional responsibilities include ensuring models comply with regulatory standards such as GDPR, maintaining audit logs, and updating safety documentation to support transparency. Additionally, they will work closely with developers to implement safety guardrails such as content filters or fallback mechanisms and will provide feedback to guide model improvements. Finally, they will report findings to stakeholders, highlighting critical issues and areas for improvement, while dedicating time to continuous learning to stay current with emerging AI safety frameworks and tools.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
Philadelphia, PA
|
Programmer / Developer
|
Contract-to-perm
|
$57 - $71 (hourly estimate)
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We are hiring two AI/LLM Engineers (1 Mid-Level, 1 Senior) to join a small, focused team building backend features for an existing Retrieval-Augmented Generation (RAG) service. You will be primarily... coding in Python, creating API endpoints, developing LangGraph plugins that integrate with the content retrieval pipeline. You?ll work across the full RAG workflow?data ingestion, embeddings, retrieval, prompt engineering, generation, and evaluation?ensuring reliable production performance. Must be able to work independently, communicate clearly, and collaborate to refine workflows. This is a fast paced role that requires delivering high quality, well architected backend functionality for client facing 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/.
Jan 16, 2026
Bentonville, AR
|
Data Warehousing
|
Perm
|
$135k - $200k (estimate)
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Chance to work on financial data for complex retail problems/challenges. Utilize Genai/LLM methods and architectures to build and deploy state-of-the-art forecasting systems. Our team collaborates... closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a diverse range of initiatives, including advanced time series forecasting, which provides actionable insights into trends and patterns, and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. Key Responsibilities:Lead a high-performing team to build Genai, Agentic AI systems.Build cross-functional partnerships to drive collaborative success. Interface with users to collect requirement and feedback.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 24, 2026
Santa Clara, CA
|
IT (DNU)
|
Contract,Perm Possible
|
$86 - $107 (hourly estimate)
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Insight Global is looking for an AI Machine Learning Engineer within Data Annotation to work with one of our tech clients in the Bay Area. This person will:work alongside NVIDIA?s data annotation... platform team, dedicated to addressing our evolving annotation data needs for training and evaluating LLMs. We value expertise in data science paired with a robust data engineering foundation. Together, we'll architect data pipelines, delve into advanced data analysis, and craft models using ML/AI. We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model creation. If you share a passion for innovation and creating exceptional experiences through the integration and management of large data sets, then you're the one we've been searching for! This role can pay between $80-100/hour depending on years of experience and skillset.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
Englewood, CO
|
Network Engineer
|
Contract
|
$39 - $49 (hourly estimate)
{"JobID":492686,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-104.99,"Longitude":39.64,"Distance":null},"State":"Colorado","Zip":"80112","ReferenceID":"DEN-283f02a0-d8cb-4ca7-9e45-cffc2de9b745","PostedDate":"\/Date(1770678200000)\/","Description":"We are seeking a Linux Systems Engineer with a strong background in automation, Java development/scripting, and emerging AI-driven solutions. This role sits at the intersection of Linux administration, intelligent automation, and QA efficiency, working closely with our automation and AI teams to modernize and scale our systems and testing practices.You will collaborate with peers locally in Denver and with our Automation team in St. Louis, contributing to initiatives focused on agentic AI, CI/CD automation, and improving QA analysis through smarter, more efficient tooling. Key Responsibilities:Linux Systems \u0026 Automation:Administer, support, and optimize Linux-based environments used for application delivery, automation, and AI workloadsDesign, build, and maintain automation frameworks using Java and scripting to streamline operational and QA workflowsSupport and monitor automated agents, including agentic AI systems, ensuring stability, performance, and accuracyAI \u0026 Intelligent Automation:Partner with the automation and AI teams to expand the use of AI-driven solutions, including agent-based automationReview, validate, and improve AI-generated outputs, agent behavior, and supporting documentationHelp integrate AI capabilities into existing automation pipelines and system workflowsSupport message-driven and asynchronous workflows (e.g., Amazon Queue?based integrations)Testing Enablement:Create and maintain automated and manual test frameworks aligned with development and QA needsTranslate Jira stories and tasks into executable test cases, identifying opportunities to automate versus manualizeImprove overall QA analysis efficiency by identifying repeatable patterns and automating themThis is a contract to hire position 4 days a week onsite in Greenwood Village, CO. This position is offering an hourly salary of 40-48/hr depending on experience.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":"Systems Engineer II","City":"Englewood","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Strong experience as a Linux Systems Administrator or Engineer- Solid foundation in Java development and/or Java-based scripting- Hands-on experience with automation frameworks and scripting- Experience working with Jira, including test case creation and tracking- Understanding of QA processes and test automation concepts- Experience working with AI-enabled automation or agentic AI systems","Skills":"- Familiarity with CI/CD pipelines and modern DevOps practices- Background in improving or scaling QA automation and analysis workflows","Industry":"Network Engineer","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":49.0000,"SalaryLow":39.2000,"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 seeking a Linux Systems Engineer with a strong background in automation, Java development/scripting, and emerging AI-driven solutions. This role sits at the intersection of Linux... administration, intelligent automation, and QA efficiency, working closely with our automation and AI teams to modernize and scale our systems and testing practices.You will collaborate with peers locally in Denver and with our Automation team in St. Louis, contributing to initiatives focused on agentic AI, CI/CD automation, and improving QA analysis through smarter, more efficient tooling. Key Responsibilities:Linux Systems & Automation:Administer, support, and optimize Linux-based environments used for application delivery, automation, and AI workloadsDesign, build, and maintain automation frameworks using Java and scripting to streamline operational and QA workflowsSupport and monitor automated agents, including agentic AI systems, ensuring stability, performance, and accuracyAI & Intelligent Automation:Partner with the automation and AI teams to expand the use of AI-driven solutions, including agent-based automationReview, validate, and improve AI-generated outputs, agent behavior, and supporting documentationHelp integrate AI capabilities into existing automation pipelines and system workflowsSupport message-driven and asynchronous workflows (e.g., Amazon Queue?based integrations)Testing Enablement:Create and maintain automated and manual test frameworks aligned with development and QA needsTranslate Jira stories and tasks into executable test cases, identifying opportunities to automate versus manualizeImprove overall QA analysis efficiency by identifying repeatable patterns and automating themThis is a contract to hire position 4 days a week onsite in Greenwood Village, CO. This position is offering an hourly salary of 40-48/hr depending on experience.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
New York, NY
|
Programmer / Developer
|
Contract,Perm Possible
|
$59 - $74 (hourly estimate)
{"JobID":492613,"JobType":["Contract,Perm Possible"],"EmployerID":null,"Location":{"Latitude":-73.99,"Longitude":40.71,"Distance":null},"State":"New York","Zip":"10013","ReferenceID":"POR-58f703ad-8a8f-4fa3-affb-aebcf640e808","PostedDate":"\/Date(1770673847000)\/","Description":"We are seeking a Senior AI Platform Engineer to design, build, and operate scalable AI/ML platform infrastructure on AWS, with a strong emphasis on platform reliability, visibility, and observability.In this role, you will enable data scientists and application teams to safely deploy and operate AI workloads by providing resilient infrastructure, standardized tooling having deep operational insight across environments.This is a hands-on senior engineering role that blends cloud infrastructure, DevOpsSec principles, and AI platform enablement.ResponsibilitiesAI Platform \u0026 AWS InfrastructureDesign, build, and operate a cloud-native AI/ML platform on AWS supporting training, inference, and experimentation workloads, spanning orchestration layers, agents, MCP tools, internal APIs, and databases.Build and maintain core multi-tenant services that enable the development, testing, deployment, monitoring, and lifecycle management of LLM-based agents.Take AI prototypes to production-grade deployments with a strong ownership and self-starter mindset.Implement verification layers, citations, and security guardrails to ensure predictable and safe agent behavior, treating prompts as untrusted inputs and model outputs as unverified code requiring validation.Architect scalable, secure environments using AWS services such as EKS, ECS, EC2, S3, SageMaker, IAM, VPC, CloudWatch, Lambda, Bedrock, and related native tooling.Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or equivalent frameworks.Optimize platform performance, cost efficiency, reliability, and scalability.Champion best practices for MLOps, agent evaluation, and system observability.Observability \u0026 Platform VisibilityLead the design and implementation of end-to-end observability across AI platforms, including metrics (infrastructure, application, and ML-specific), centralized structured logging, and distributed tracing across service layers and model-serving paths.Define and maintain golden signals, SLIs/SLOs, and alerting strategies for AI workloads and platform components.Integrate observability tooling such as CloudWatch, OpenTelemetry, Prometheus, Grafana, Datadog, New Relic, or similar platforms, including support for agentic workflows and external-facing MCPs.Enable visibility into model performance, data drift, inference latency, error rates, and resource utilization, and help drive corrective actions.Reliability, Security \u0026 GovernanceApply DevOps best practices to improve platform reliability, resilience, and operational excellence.Partner closely with security and IT audit teams to deliver secure-by-default infrastructure, including IAM least-privilege access, network isolation, encryption, and compliance controls.Support enterprise governance, auditability, and regulatory compliance requirements for AI systems.Build guardrails that enable safe experimentation while ensuring secure and compliant production deployments.Routinely enforce and validate adherence to security and governance standards.Developer Enablement \u0026 CollaborationCreate reusable platform components, templates, and self-service tooling to accelerate adoption and reduce time to market.Collaborate with data science, ML engineering, and application teams to understand requirements and unblock platform adoption.Participate in on-call rotations and incident response, contributing to root cause analysis and continuous improvement.Provide technical leadership, architectural guidance, and mentorship to other engineers, raising the bar for AI engineering practices across the organization.Contribute to documentation, runbooks, and operational best practices.Stay current with emerging AI research and translate novel techniques into production-ready 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\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior AI Platform Engineer (Hybrid in NYC or CT)","City":"New York","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience?7+ years of experience in cloud infrastructure, platform engineering, DevOps, or SRE roles.?Deep hands-on experience with AWS in production environments, especially for Agentic AI.?Proven experience designing and implementing observability and monitoring systems at scale.?Strong working knowledge in supporting agentic workflows including setup and support of external facing MCPs?Expertise in Infrastructure as Code (Terraform or CDK).?Solid understanding of networking, and cloud security fundamentals.?Proficiency in at least one programming or scripting language (Python, Javascript).?Proficiency with Relational Databases and data warehouses and Vector Databases?Experience supporting AI/ML platforms (e.g., Bedrock AI services, AgentCore on AWS, GCP) and the ability to work with different cloud providers to remain cloud agnostic.?Familiarity with MLOps concepts such as model deployment, monitoring, and lifecycle management.?Experience with modern observability architectures.?Knowledge of cost optimization strategies for large-scale cloud and AI workloads.?Experience working in large, regulated, or asset-heavy enterprise environments.","Skills":"?Work with SLMs and external facing MCPs would be 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":74.0000,"SalaryLow":59.2000,"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 seeking a Senior AI Platform Engineer to design, build, and operate scalable AI/ML platform infrastructure on AWS, with a strong emphasis on platform reliability, visibility, and... observability.In this role, you will enable data scientists and application teams to safely deploy and operate AI workloads by providing resilient infrastructure, standardized tooling having deep operational insight across environments.This is a hands-on senior engineering role that blends cloud infrastructure, DevOpsSec principles, and AI platform enablement.ResponsibilitiesAI Platform & AWS InfrastructureDesign, build, and operate a cloud-native AI/ML platform on AWS supporting training, inference, and experimentation workloads, spanning orchestration layers, agents, MCP tools, internal APIs, and databases.Build and maintain core multi-tenant services that enable the development, testing, deployment, monitoring, and lifecycle management of LLM-based agents.Take AI prototypes to production-grade deployments with a strong ownership and self-starter mindset.Implement verification layers, citations, and security guardrails to ensure predictable and safe agent behavior, treating prompts as untrusted inputs and model outputs as unverified code requiring validation.Architect scalable, secure environments using AWS services such as EKS, ECS, EC2, S3, SageMaker, IAM, VPC, CloudWatch, Lambda, Bedrock, and related native tooling.Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or equivalent frameworks.Optimize platform performance, cost efficiency, reliability, and scalability.Champion best practices for MLOps, agent evaluation, and system observability.Observability & Platform VisibilityLead the design and implementation of end-to-end observability across AI platforms, including metrics (infrastructure, application, and ML-specific), centralized structured logging, and distributed tracing across service layers and model-serving paths.Define and maintain golden signals, SLIs/SLOs, and alerting strategies for AI workloads and platform components.Integrate observability tooling such as CloudWatch, OpenTelemetry, Prometheus, Grafana, Datadog, New Relic, or similar platforms, including support for agentic workflows and external-facing MCPs.Enable visibility into model performance, data drift, inference latency, error rates, and resource utilization, and help drive corrective actions.Reliability, Security & GovernanceApply DevOps best practices to improve platform reliability, resilience, and operational excellence.Partner closely with security and IT audit teams to deliver secure-by-default infrastructure, including IAM least-privilege access, network isolation, encryption, and compliance controls.Support enterprise governance, auditability, and regulatory compliance requirements for AI systems.Build guardrails that enable safe experimentation while ensuring secure and compliant production deployments.Routinely enforce and validate adherence to security and governance standards.Developer Enablement & CollaborationCreate reusable platform components, templates, and self-service tooling to accelerate adoption and reduce time to market.Collaborate with data science, ML engineering, and application teams to understand requirements and unblock platform adoption.Participate in on-call rotations and incident response, contributing to root cause analysis and continuous improvement.Provide technical leadership, architectural guidance, and mentorship to other engineers, raising the bar for AI engineering practices across the organization.Contribute to documentation, runbooks, and operational best practices.Stay current with emerging AI research and translate novel techniques into production-ready 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/.
Feb 09, 2026
New York, NY
|
Programmer / Developer
|
Contract,Perm Possible
|
$59 - $74 (hourly estimate)
{"JobID":492608,"JobType":["Contract,Perm Possible"],"EmployerID":null,"Location":{"Latitude":-73.99,"Longitude":40.71,"Distance":null},"State":"New York","Zip":"10013","ReferenceID":"POR-083d048e-ffb6-4218-bcdb-c092bd987794","PostedDate":"\/Date(1770674073000)\/","Description":"We are looking for a highly motivated, creative Senior AI Engineer who thrives in a fast-paced environment who takes ownership from concept to production. In this role, you will work closely with product managers and AI platform engineers to turn evolving ideas into secure, scalable, and logically sound AI-powered features.You will be expected to operate with minimal supervision, make excellent technical trade-off decisions, and balance speed with engineering discipline. This role is ideal for an engineer who can adapt quickly, respond to changing priorities, and still deliver high-quality, production solutions where end users are already actively engaging with agentic experiences! Key ResponsibilitiesAI Feature Development \u0026 Ownership?Partner with a cross-functional team of engineers, data scientists, technical program managers, and product managers to deliver AI-powered products that change how productively customers and employees conduct their work. ?Design and implement the Agentic AI workflows from orchestration for reasoning, decomposing user requests, planning and managing tasks to agents, MCPs, tools and new agentic frameworks like A2UI that enable and scale such production workflows securely with considerations for error and exception handling and human-in-the-loop feedback.?Implement verification layers, citations, and security guardrails to ensure agents operate more predictably and safely under similar circumstances, akin to treating prompts as unverified code and model outputs as untrusted that requires validation?Translate rapidly evolving product needs and frequent pivots into clear technical designs and working implementations.?Build advanced Retrieval-Augmented Generation (RAG) pipelines and MCP and tool use capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources?Lead technical direction and collaborate with different groups to define the roadmap for AI orchestration for internal and external facing agentic workflows ?Take end-to-end ownership of features, including experimentation, iteration, deployment, and operational support.?Rapidly prototype and iterate while ensuring production implementations remain robust and maintainable.Collaboration \u0026 Product Partnership?Partner closely with product managers to continuously refine feature scope, user experience, and technical feasibility.?Collaborate with AI platform engineers to leverage shared infrastructure, tooling, and standards.?Provide technical input that helps teams navigate tradeoffs in a dynamic, fast-moving delivery environment.?Act as a bridge between shifting product direction and stable technical execution.?Mentor other engineers and raise the bar for AI engineering practices across the organization.Engineering Rigor \u0026 Security?Ensure AI solutions are secure by design, even as requirements and priorities change.?Build systems that are logically sound, testable, and resilient under continuous iteration.?Apply strong software engineering practices, including testing, versioning, monitoring, and documentation.?Identify and mitigate risks related to model behavior, performance, reliability, and misuse.AI Systems \u0026 Integration?Develop and integrate AI solutions using modern techniques such as LLMs, retrieval-augmented generation (RAG), agents, MCPs and APIs.?Implement prompt engineering, evaluation strategies, and feedback loops to improve AI quality over time.?Integrate AI capabilities into existing applications, services, and workflows.?Monitor and continuously improve model behavior, latency, cost, and user outcomes 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":"Senior AI Engineer (Hybrid in NYC or CT)","City":"New York","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Able to work hybrid in either NYC, NY or Stamford, CT?7+ years of professional software engineering experience, with significant experience building AI-enabled systems.?Strong proficiency in Python and experience integrating AI/ML or LLM-based services, Javascript or Typescript frameworks for UI rendering.?Demonstrated ability to operate independently and make high-quality technical decisions in fast-paced environments.?Experience delivering production systems amid changing priorities and frequent pivots.?Strong understanding of software design, APIs, distributed systems, database queries on RDMS, data warehouses and cloud architectures.?Solid grasp of security, data privacy, and access control considerations in AI systems.","Skills":"","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":74.0000,"SalaryLow":59.2000,"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 highly motivated, creative Senior AI Engineer who thrives in a fast-paced environment who takes ownership from concept to production. In this role, you will work closely with... product managers and AI platform engineers to turn evolving ideas into secure, scalable, and logically sound AI-powered features.You will be expected to operate with minimal supervision, make excellent technical trade-off decisions, and balance speed with engineering discipline. This role is ideal for an engineer who can adapt quickly, respond to changing priorities, and still deliver high-quality, production solutions where end users are already actively engaging with agentic experiences! Key ResponsibilitiesAI Feature Development & Ownership?Partner with a cross-functional team of engineers, data scientists, technical program managers, and product managers to deliver AI-powered products that change how productively customers and employees conduct their work. ?Design and implement the Agentic AI workflows from orchestration for reasoning, decomposing user requests, planning and managing tasks to agents, MCPs, tools and new agentic frameworks like A2UI that enable and scale such production workflows securely with considerations for error and exception handling and human-in-the-loop feedback.?Implement verification layers, citations, and security guardrails to ensure agents operate more predictably and safely under similar circumstances, akin to treating prompts as unverified code and model outputs as untrusted that requires validation?Translate rapidly evolving product needs and frequent pivots into clear technical designs and working implementations.?Build advanced Retrieval-Augmented Generation (RAG) pipelines and MCP and tool use capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources?Lead technical direction and collaborate with different groups to define the roadmap for AI orchestration for internal and external facing agentic workflows ?Take end-to-end ownership of features, including experimentation, iteration, deployment, and operational support.?Rapidly prototype and iterate while ensuring production implementations remain robust and maintainable.Collaboration & Product Partnership?Partner closely with product managers to continuously refine feature scope, user experience, and technical feasibility.?Collaborate with AI platform engineers to leverage shared infrastructure, tooling, and standards.?Provide technical input that helps teams navigate tradeoffs in a dynamic, fast-moving delivery environment.?Act as a bridge between shifting product direction and stable technical execution.?Mentor other engineers and raise the bar for AI engineering practices across the organization.Engineering Rigor & Security?Ensure AI solutions are secure by design, even as requirements and priorities change.?Build systems that are logically sound, testable, and resilient under continuous iteration.?Apply strong software engineering practices, including testing, versioning, monitoring, and documentation.?Identify and mitigate risks related to model behavior, performance, reliability, and misuse.AI Systems & Integration?Develop and integrate AI solutions using modern techniques such as LLMs, retrieval-augmented generation (RAG), agents, MCPs and APIs.?Implement prompt engineering, evaluation strategies, and feedback loops to improve AI quality over time.?Integrate AI capabilities into existing applications, services, and workflows.?Monitor and continuously improve model behavior, latency, cost, and user outcomes 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/.
Jan 22, 2026
Philadelphia, PA
|
Programmer / Developer
|
Contract-to-perm
|
$48 - $60 (hourly estimate)
{"JobID":485612,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-75.16,"Longitude":39.95,"Distance":null},"State":"Pennsylvania","Zip":"19103","ReferenceID":"PHL-5ec2218f-1c51-4f06-9425-a07136e055b3","PostedDate":"\/Date(1769102657000)\/","Description":"We are hiring two AI/LLM Engineers (1 Mid-Level, 1 Senior) to join a small, focused team building backend features for an existing Retrieval-Augmented Generation (RAG) service. You will be primarily coding in Python, creating API endpoints, developing LangGraph plugins that integrate with the content retrieval pipeline. You?ll work across the full RAG workflow?data ingestion, embeddings, retrieval, prompt engineering, generation, and evaluation?ensuring reliable production performance. Must be able to work independently, communicate clearly, and collaborate to refine workflows. This is a fast paced role that requires delivering high quality, well architected backend functionality for client facing 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\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"REMOTE Mid-Level AI Engineer (EAST COAST ONLY)","City":"Philadelphia","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 2+ years of professional experience supporting RAG-based AI workflows? Strong Python skills, API creation, model training, testing and general backend programming? Experience building LangGraph plugins that integrate retrieval components with existing LLMs? Hands on experience in building end to end RAG pipelines, including prompt engineering, data ingestion, embedding, retrieval, generation and evaluation? Skilled in integrating APIs with LLMs? Working knowledge of agentic systems and retrieval algorithms? Strong communication skills with the ability to work independently while providing clear, consistent updates to the team.","Skills":"? Proficiency with GitHub and version control workflows? Experience with model and pipeline evaluation, including the use of RAG specific metrics (RAGAS: accuracy, relevance, and groundedness)","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":60.0000,"SalaryLow":48.0000,"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 are hiring two AI/LLM Engineers (1 Mid-Level, 1 Senior) to join a small, focused team building backend features for an existing Retrieval-Augmented Generation (RAG) service. You will be primarily... coding in Python, creating API endpoints, developing LangGraph plugins that integrate with the content retrieval pipeline. You?ll work across the full RAG workflow?data ingestion, embeddings, retrieval, prompt engineering, generation, and evaluation?ensuring reliable production performance. Must be able to work independently, communicate clearly, and collaborate to refine workflows. This is a fast paced role that requires delivering high quality, well architected backend functionality for client facing 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/.