Software Engineer

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.

We are looking for a 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.

• 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 the team

• 5+ years of software engineering experience with strong Python skills

• Experience owning and operating production systems,you've been the person responsible when things break

• Proven ability to make sound architectural decisions and communicate them clearly

• Experience with cloud platforms

• Familiarity with AI/LLM systems (agent pipelines, RAG, document processing) or a strong willingness to go deep

• Experience with Django or FastAPI, Celery, and Redis

• Comfort working across the stack, backend, infrastructure, and occasionally frontend when needed

• Track record of mentoring or supporting other engineers, formally or informally

• Strong communication skills for client-facing interactions and cross-functional collaboration

• Experience with graph databases (Neo4j) and knowledge graph systems

• Familiarity with multi-agent AI architectures and LLM orchestration

• Infrastructure as code experience (Terraform)

• Experience in regulated industries (energy, defense, healthcare, finance)

• Experience with observability tooling (OpenTelemetry, Logfire, structured logging)

• Contributions to open-source projects

• High-impact work at the intersection of AI and critical infrastructure regulation

• Ownership of the platform in a company where engineering is the product

• Small team with outsized influence -- your decisions shape the entire technical direction

• Direct client exposure and forward-deployed engineering model

• Modern AI-native development environment (Claude Code, Cursor, multi-model orchestration)

• Remote-first

• Competitive compensation

• 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