About 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.
About the Role
We are looking for an AI Engineer to join our forward-deployed team supporting clients in regulated industries. 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.
What You'll Do
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
What We're Looking For
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
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 (Scrapping, OCR, PDF extraction)
Contributions to open-source AI/ML projects
Experience with task queues and distributed processing
What We Offer
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
Values We Hire For
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
Skills Required
- 3-5 years of software engineering experience
- Solid Python skills
- Experience with AI/LLM applications
- Comfort with cloud services, preferably GCP
- Familiarity with relational or graph databases
- Experience with Django or FastAPI
What We Do
Infinity incubates companies focused on AI service businesses, combining repeat founders with world class applied AI engineers creating the next generation of service industries.
