AI Engineer I
Summary
Build and test enterprise LLM applications, retrieval-augmented generation systems, and vector databases while supporting Azure deployments and prompt engineering.
- Assist with Docker private endpoints and secure configurations
- Assist with documentation for AI services and infrastructure
- Assist with function tool calling integrations
- Assist with validation and QA testing
- Assist with vector database setup embeddings and chunking
- Build and test enterprise LLM applications
- Develop and test retrieval augmented generation systems
- Evaluate retrieval quality
- Follow AI ML operations best practices monitoring versioning and CI CD
- Participate in rapid POC development cycles
- Provide prompt engineering and structured output handling
- Share findings and participate in team demos and retrospectives
- Stay current with emerging AI tools and model releases
- Support cloud deployments in Azure
- Support design development testing implementation of AI powered solutions
Perks/Benefits:
- 401k match
- Dental insurance
- Holidays
- Medical insurance
- Personal Time Off
- Sick days
- Vision insurance
- Work-life balance