Job Url: https://jobs.lever.co/valence/eb4784af-7e16-4ee4-97f8-1219b96d1305?lever-source=Ziprecruiter

Job Description: What You'll Do
Architect, build, and optimize core components of our LLM-driven coaching engine
Collaborate with product, design, and infrastructure to deliver delightful, resilient user experiences
Own end-to-end systems: from model integration to frontend delivery, evaluation and observability
Design for scale, security, and performance across enterprise environments
Influence and evolve our engineering culture, roadmap, and technical bar
Debug across the stack—from model behavior to data infra to UI
Help shape hiring, tooling, and internal processes as we grow
What We're Looking For
Engineering Skills: You've got significant experience in a combination of scaling startups and best-in-class engineering organizations, with deep Python expertise (Django preferred) and confidence querying databases independently to build your own datasets.
AI Fluid: You've got hands-on experience from ML roles, coursework, side projects, and/or LLM applications—bonus points for running evals or demonstrating a great grasp of model quality/performance tradeoffs.
Builder at Heart: You’ve architected and shipped production-grade systems - ideally in AI, distributed infrastructure, or high-velocity B2B environments. You balance speed with scalability.
Versatile and Pragmatic: You move fluidly between crafting clean abstractions and deploying scrappy experiments when speed to insight matters most.
Product Focused: You write reliable code and care as much about how your work performs in the hands of customers as how it performs in CI.
Startup Fluent: You thrive in ambiguity, value momentum over perfection, and happily wear multiple hats when it means unblocking the team.
Data-Driven Operator: You think in experiments, validate with data, and believe that observation beats assumption every time.