AI Engineer (Labrynth)

TL;DR

AI Engineer (Labrynth): Build and extend multi-agent AI pipelines for regulatory document analysis, gap identification, and pre-draft generation with an accent on GraphRAG-based knowledge retrieval using Neo4j and LLM orchestration. Focus on integrating compliant workflows for export-controlled materials and scaling systems across multiple regulatory domains.

Location: Remote-first within the US; US citizen or permanent resident physically based in the United States (non-negotiable) due to export control regulations

Company

Labrynth accelerates progress by building AI-powered platforms that streamline regulatory complexity for clients in energy, compliance, and government permitting industries.

What you will do

• Build and extend multi-agent AI pipelines for regulatory document analysis, gap identification, and pre-draft generation
• Develop and improve GraphRAG-based knowledge retrieval systems using Neo4j
• Integrate and orchestrate LLM calls for document processing workflows
• Work with export-controlled materials in a compliant environment
• Collaborate with engineers and clients to translate domain requirements into technical solutions
• Contribute to platform architecture for modularization and scaling across 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 a plus)
• Experience with Django or FastAPI
• Proactive mindset with good communication skills for client interactions

Nice to have

• 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 (scraping, OCR, PDF extraction)
• Contributions to open-source AI/ML projects
• Experience with task queues and distributed processing

Culture & Benefits

• High-impact work in AI and regulatory space with small, high-velocity forward-deployed teams
• Direct client exposure and accelerated growth in a modern AI-native environment
• Remote-first within the US
• Emphasis on character, competency, togetherness, impact, and commitment