Full Stack Engineer

We are seeking a Python AI Backend Developer to join our software engineering team and help design, develop, and support modern AI-powered applications. This individual will follow the software development lifecycle to analyze requirements, create technical designs, develop scalable backend systems, and implement Retrieval-Augmented Generation (RAG) solutions using leading LLM technologies.
The ideal candidate will have experience building Python-based APIs, integrating large language models, developing vector database solutions, and collaborating with cross-functional teams to deliver high-quality software.

Responsibilities
Design, develop, test, debug, and document software applications following established SDLC processes.
Review functional requirements and translate them into technical designs and implementation plans.
Develop scalable backend services and APIs using Python.
Build and maintain Retrieval-Augmented Generation (RAG) pipelines for AI-powered applications.
Implement document ingestion workflows, embedding strategies, and retrieval architectures.
Design and optimize vector database solutions for semantic search and knowledge retrieval.
Integrate large language models (LLMs) through OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and similar platforms.
Participate in architecture reviews, design discussions, and code reviews.
Develop and maintain system documentation, operational procedures, and technical specifications.
Collaborate with engineering, product, and data teams to ensure quality, consistency, and performance.
Implement automated testing, monitoring, logging, and observability best practices.
Support CI/CD pipelines and cloud-native deployments.Must-Have Qualifications
1-5 years of Python development experience building backend applications and APIs.
Experience with FastAPI, Flask, or Django and developing REST-based services.
Hands-on experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines.
Experience with LLM frameworks and APIs such as LangChain, LlamaIndex, OpenAI, Anthropic, Azure OpenAI, or AWS Bedrock.
Experience working with at least one vector database (Pinecone, Weaviate, Qdrant, Milvus, ChromaDB, or pgvector).
Experience with cloud and deployment technologies including Docker, CI/CD, and AWS/Azure/GCP environments.

This is onsite 4 days onsite in Greenwood Village Colorado offering 41-42/hr.

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/.

- 1-5 years of Python development experience building backend applications and APIs.
- Experience with FastAPI, Flask, or Django and developing REST-based services.
- Hands-on experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines.
- Experience with LLM frameworks and APIs such as LangChain, LlamaIndex, OpenAI, Anthropic, Azure OpenAI, or AWS Bedrock.
- Experience working with at least one vector database (Pinecone, Weaviate, Qdrant, Milvus, ChromaDB, or pgvector)

GraphQL experience.
Experience with cloud and deployment technologies including Docker, CI/CD, and AWS/Azure/GCP environments.
Async programming (asyncio/aiohttp).
PostgreSQL, MongoDB, or Redis.
Kubernetes exposure.
Monitoring/observability tools such as OpenTelemetry or LangSmith.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.