AI Engineer at Infinity Constellation

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. 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. 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 - 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 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 - Remote-first within the US 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