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AI Engineer at Infinity. Remote Location: United States. 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