AI Engineer - Public Sector
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Tech Stack
About the Role
Unstructured Technologies seeks an AI engineer to architect and deploy advanced systems for government and military clients. The role bridges R&D and production engineering, focusing on transforming unstructured data for LLM consumption.
Time allocation
- 50% Building and shipping production RAG pipelines and agentic workflows using Python
- 30% Research and experimentation with new models and frameworks
- 20% Strategy, technical documentation, and collaboration
Must-haves
- Production RAG pipeline deployment experience with real-world datasets
- Deep agentic systems design expertise (tool-use, multi-agent orchestration)
- Expert-level Python engineering with clean, scalable code
- AWS/GovCloud environment operations experience
Nice-to-haves
- NLP or object detection fine-tuning
- LLM evaluation framework familiarity
- Government security standards knowledge
- Active Secret/TS security clearance or eligibility
Tech stack: Python, SQL, LangChain, LangGraph, CrewAI, Pinecone, Weaviate, Chroma, pgvector, Neo4J, Elasticsearch, spaCy, GLiNER, RAGAS, DeepEval, Arize Phoenix, AWS SageMaker, Bedrock, Docker, FastAPI.
Benefits: Competitive compensation, equity options, dynamic team environment, cutting-edge ML projects.