About this role
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
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
Tech stack
LLMPythonGCPBigQueryDjangoFastAPI
About Infinity Constellation
Infinity Constellation is hiring for the ai engineer - labrynth role. NewJob aggregates active openings directly from Infinity Constellation's applicant tracking system, so this listing is current.
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