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# Sr. AI Engineer

- **Company:** Insight Global
- **Location:** Rogers, AR, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Software Debugging, Graph Database, Python (Programming Language), Software Deployment, Software Engineering, Systems Integration, Data Logging, Enterprise Software Applications, Large Language Models, Generative AI, Git, AI Platforms, Kubernetes, Restful APIs, Docker, Microservices
- **Published:** September 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3401614116&tx=HT8276THI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

10+ years of software or AI engineering experience with strong hands-on Python development skills.

 - Demonstrated experience building and deploying production-grade Generative AI applications.

 - Strong experience with LLM application development, RAG, embeddings, vector retrieval, agents, tool calling, and orchestration.

 - Experience building REST APIs, microservices, and integrations with enterprise applications and data sources.

 - Strong understanding of software engineering practices including automated testing, Git, code reviews, logging, debugging, and CI/CD.

 - Experience with Docker, containers, and cloud-based application deployment.

 - Experience implementing AI evaluation, monitoring, guardrails, and production troubleshooting.

 - Familiarity with frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.

 - Experience with Azure OpenAI, AWS Bedrock, Google Vertex AI, or other enterprise AI platforms

 - Knowledge of GraphRAG, knowledge graphs, Kubernetes, infrastructure-as-code, AI observability, and Responsible AI practices is a plus.

 - Demonstrated ability to lead technical projects, mentor engineers, manage dependencies, and communicate effectively with technical and business stakeholders.

## Description

We are seeking a Senior AI Engineer to lead the design and delivery of production-grade Generative AI applications, agents, RAG solutions, and orchestration workflows. This individual will personally build Python services, APIs, retrieval pipelines, evaluation frameworks, guardrails, and enterprise integrations rather than only supporting the API layer. The role will own a major AI project from requirements through production while managing technical risks, dependencies, milestones, and stakeholder communication. Qualified candidates should have 10+ years of software or AI engineering experience with hands-on knowledge of Python, LLMs, vector retrieval, LangChain or LangGraph, cloud deployment, containers, testing, monitoring, and CI/CD. The Senior AI Engineer will also provide technical direction, code reviews, and mentorship to other engineers while remaining an active contributor.


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