AI Engineer
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Job Description
AI Engineer building AI-powered regulatory document processing systems for Labrynth. Collaborating closely with clients in regulated industries and contributing to platform architecture.
Responsibilities:
- Build and extend multi-agent AI pipelines for regulatory document analysis, gap identification, and pre-draft generation
- Work with export-controlled materials in a compliant environment
- Develop and improve GraphRAG-based knowledge retrieval systems using Neo4j
- Integrate and orchestrate LLM calls for document processing workflows
- Collaborate with engineers and directly with clients to understand domain requirements and translate them into technical solutions
- Contribute to platform architecture as we modularize and scale our systems across multiple regulatory domains
Requirements:
- 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
Benefits:
- High-impact work at the intersection of AI and critical regulatory space
- Small team with outsized influence -- your work directly shapes the product
- Modern AI-native development environment
- Accelerated growth path
- Remote-first within the US
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