> Markdown version of [/jobs/ext/3657569-senior-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/3657569-senior-ai-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Software Engineer - **Company:** Vsg Business Solutions - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Information Engineering, Graph Database, Python (Programming Language), Machine Learning, Operational Databases, Software Engineering, Data Streaming, Large Language Models, Kubernetes, Api Design, Automation Anywhere, Docker - **Published:** October 9, 2026 - **Apply:** https://www.careerjet.com/jobad/usb47f0d1ecd4dbb1b703ff11f7accfd87 ## About the Role At least seven years of software engineering experience, including three or more years in AI, machine learning, or data engineering. Experience building and operating LLM applications used by real customers or internal teams. Strong Python skills and experience with modern API development. Experience with production data pipelines, search systems or vector databases, and evaluation of AI output. Hands-on experience with AWS, Docker, and Kubernetes. U.S. citizenship, required for the federal contract work associated with this role. Experience with knowledge graphs, advanced retrieval techniques, streaming data, or AI agent tooling is a plus. ## Description develop systems that turn varied data sources into useful knowledge and help teams measure how well AI applications perform for real users. What you'll do Build and maintain AI workflows that use large language models, tools, and multiple processing steps. Create pipelines that ingest, validate, update, and organize documents and structured data. Improve search and retrieval across text, metadata, and vector-based indexes. Measure output quality, response time, and operating cost; use those findings to improve the systems. Work with other engineers to integrate AI capabilities into applications and resolve production issues. Develop tools that make engineering workflows more effective.