Software Engineer

About the Role

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.

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 the team

What We're Looking For

• 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

Nice to Have

• 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