Bobsled

AI Engineer

• Own the text-to-SQL accuracy problem end-to-end: design evals, iterate prompts, and improve retrieval/routing
• Build and operate the experimentation and evaluation loop (automatic evals, regression suites, dataset curation)
• Design pragmatic LLM application architectures (RAG, agent routing, tool-use orchestration) optimized for accuracy and latency
• Ship production-grade code and support deployments; instrument, monitor, and troubleshoot model behavior in real customer environments
• Partner closely with engineering and customers to improve semantic models, SQL generation, and data alignment
• Create feedback loops from users to systematically capture issues and convert them into measurable improvements
• Contribute to automation of environment provisioning and dev workflows to enable fast iteration
• Deliver measurable improvements in text-to-SQL accuracy, reliable CI eval/regression pipelines, clear architecture, and fast partner feedback cycles