AI Engineer - Labrynth

Labrynth accelerates progress by streamlining regulatory complexity. We build AI-powered platforms that navigate complex regulations, generate audit-level documentation, and provide certainty -- not shortcuts. Our technology serves clients across heavily regulated industries including energy, compliance, and government permitting.

We operate as a forward-deployed engineering organization: small, high-velocity teams embedded directly with clients to rapidly discover needs and ship production-quality solutions.

We are looking for an AI Engineer to join our forward-deployed team supporting clients in regulated industries. This role requires a US person physically based in the United States due to export control regulations governing certain client materials.

You will work closely with senior engineering to build and maintain AI-powered regulatory document processing and pre-drafting systems. You'll receive guidance while taking ownership of meaningful features and deliverables. You'll also have direct client exposure and the opportunity to grow rapidly in a high-impact environment.

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  Build and extend multi-agent AI pipelines for regulatory document analysis, gap identification, and pre-draft generation

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  Work with export-controlled materials in a compliant environment

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  Develop and improve GraphRAG-based knowledge retrieval systems using Neo4j

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  Integrate and orchestrate LLM calls for document processing workflows

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  Collaborate with engineers and directly with clients to understand domain requirements and translate them into technical solutions

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  Contribute to platform architecture as we modularize and scale our systems across multiple regulatory domains

• US citizen or permanent resident, physically located in the United States (non-negotiable)

• 3-5 years of software engineering experience with solid Python skills

• Experience with or strong interest in AI/LLM applications (agent pipelines, RAG, document processing)

• Comfort working with cloud services, preferably GCP (Cloud Run, BigQuery, Memorystore)

• Familiarity with relational or graph databases (Neo4j experience is a plus)

• Experience with Django or FastAPI

• Proactive and resourceful -- comfortable taking ownership of tasks while collaborating closely with team members

• Good communication skills for participating in client interactions alongside leadership

• Experience in regulated industries (energy, defense, healthcare, finance)

• Familiarity with energy or government regulatory frameworks

• DOE Q-clearance or ability to obtain one

• Experience with document processing pipelines (Scrapping, OCR, PDF extraction)

• Contributions to open-source AI/ML projects

• Experience with task queues and distributed processing

• Character -- integrity and trustworthiness above all

• Competency -- evoking trust and reliably delivering

• Togetherness -- family-level support and alignment

• Impact -- meaningful outcomes over activity

• Commitment -- ownership and follow-through