Build and productionize LLM capabilities in a classified enterprise analytic environment.

Implement orchestration logic, tool integrations, and memory handling for agent-based applications; contribute design early and expand ownership over time
Own documentation and delivery for: document processing, embedding generation, retrieval configuration, and prompt assembly
Develop Python REST APIs to support data retrieval, system integration, and agent workflows
Process and transform structured and unstructured data for AI workflows; work with Postgres schemas and improve query performance
Handle testing, deployment, and production realities inside a classified environment
Design and lead end to end orchestration across the platform

Active TS Clearance
Top Secret (Required)
Bachelor’s in computer science or related field (additional experience considered in lieu)

Junior-level
- Solid Python with real production code
- Experience building or consuming REST APIs
- Comfort with databases and SQL
- Some hands-on exposure to LLMs or a RAG prototype, an agent you wired up, a side project, or a course (curiosity and practical exploration)
- Bachelor’s in computer science or a related field (additional experience considered in lieu)
Mid-level
- Hands-on work building LLM-integrated applications, RAG workflows, or retrieval-based systems
- Working familiarity with agent concepts for at least one AI framework
- Understanding of transformer fundamentals, context windows, and where retrieval breaks down
- Enough production experience to form opinions on reliability and maintainability
Senior-level
- 8+ years of software engineering experience overall with recent hands-on work building AI/ML applications
- Bachelor’s in computer science or a related field
- Strong Python and fluency with common data and AI libraries
- Demonstrated experience with LLM-integrated applications, RAG workflows, or similar retrieval-based systems
- Working knowledge of agent-based programming
- Solid grounding in transformers, LLM behavior, data processing, and model integration patterns
- Experience designing or integrating REST APIs
- Production engineering habits: testing, reliability, deployment

Generative AI Data Engineer

Job Description