Senior Applied AI Engineer 3 - (Python, LLMs, RAG)
Summary
Architect and build production AI applications using Python, LLMs, and RAG pipelines; develop backend services and APIs, evaluate frameworks, and mentor junior engineers.
- Architect and implement LLM workflows
- Build data pipelines for AI applications
- Build retrieval-augmented generation pipelines
- Deploy and transition prototypes to production
- Design and develop production AI software applications
- Develop AI agent capabilities
- Develop backend services and APIs
- Evaluate AI frameworks and models
- Integrate natural language inputs with mission data sources
- Mentor junior engineers and contribute to architecture
Perks/Benefits:
- 401k matching
- Education assistance
- Healthcare coverage
- Paid time off