Labrynth
AI
SeniorSoftwareEngineer
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“Senior Software Engineer at Labrynth”
Industry & Context.
Tackle complex problems; Drive problems to resolution
What They're Looking For.
Must Have
5+ years software engineering, Python skills, Owning production systems, Making architectural decisions, Cloud platforms experience, Familiarity with AI/LLM systems, Willingness to go deep, Experience with Django or FastAPI, Experience with Celery, Experience with Redis, Comfort working across the stack, Track record of mentoring engineers
Nice to Have
Graph databases experience, Knowledge graph systems, Multi-agent AI architectures, LLM orchestration, Infrastructure as code experience, Regulated industries experience, Observability tooling experience, Open-source contributions
How You'll Work.
Team & Collaboration
Forward-deployed engineering teams; Small, high-velocity teams; Embedded client teams; Cross-functional collaboration
Communication Scope
Client-facing interactions; Cross-functional collaboration
Full Job Description
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 a Senior Software Engineer to own and evolve Labrynth's core platform. This is a foundational role, you will be the person the team leans on for the hard problems, the architectural decisions, and the production reliability that everything else depends on. You will maintain and improve our platform infrastructure, support fellow engineers by unblocking them and raising the quality bar, tackle the most complex technical challenges across the stack, and make deliberate technology decisions that balance speed, scalability, and maintainability. You will work directly with clients and have a seat at the table when we decide how to build solutions for them. WHAT YOU'LL DO - Own the health, reliability, and evolution of Labrynth's platform across backend, infrastructure, and AI systems - Make architectural and technology decisions, evaluate tradeoffs, choose tools, and stand behind the choices - Support the engineering team by reviewing code, mentoring, unblocking, and setting standards - Tackle complex, ambiguous problems that don't have an obvious solution and drive them to resolution - Build and deploy production services on Cloud (GCP, AWS) - Design and maintain APIs that serve both internal systems and client-facing products - Collaborate directly with clients to understand their problems and translate them into scalable technical solutions - Improve CI/CD pipelines, observability, and developer experience across t
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