Role OverviewWe are seeking an experienced Senior AI Engineer to build retrieval, semantic search, summarization, and source-traceable AI application capabilities for a Federal data analytics and AI modernization initiative.
What You Will Do
Develop LLM-powered applications for retrieval, semantic search, summarization, document analysis, and decision support. Implement prompt orchestration, context management, evaluation, source citation, and output grounding.
Why It Might Be a Fit
You will work with a diverse team of professionals to solve matters, architect nuisances, and come up with alternatives. We offer competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.
Requirements
- Hands-on experience developing applications using LLMs, RAG, semantic search, or generative AI.
- Experience building AI services for search, summarization, document analysis, question answering, or decision support.
- Strong Python and API development skills.
- Experience with embeddings, vector search, retrieval, prompt orchestration, and LLM evaluation.
- Experience implementing source citation, grounding, traceability, and output validation.
- Experience implementing AI guardrails, access controls, logging, monitoring, and error handling.
- Experience integrating AI/LLM services with databases, APIs, search platforms, and data pipelines.
- Strong technical communication, documentation, problem-solving, and cross-functional collaboration skills.
- U.S. citizenship and ability to obtain and maintain Top Secret eligibility.
- Active Top Secret clearance highly preferred.
Benefits
- Competitive compensation
- Opportunities for bonuses
- Employer-paid health care
- Training and development funds
- 401k match
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