Key skills
PythonSQLTypeScriptAIMLLLMRemote Work
About this role
Role Overview
- 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
Requirements
- 2+ years in ML/AI or data-focused engineering or data science roles building production systems data or AI systems
- Demonstrated experience tuning LLM applications: prompt engineering, evals, retrieval, agent design, or similar
- Strong hands-on coding in Python or TypeScript (TypeScript familiarity a plus; willingness to work across the stack required)
- ML engineering mindset beyond notebooks: testing, CI, observability, performance, and deployment in production
- Comfort with SQL and complex data modeling; familiarity with data warehouses and pipelines
- Pragmatic, product-oriented approach—optimize for impact over novelty; complement existing systems rather than rebuild from scratch
- Ability to design experiments, quantify improvements, and communicate trade-offs clearly
Tech Stack
- Python
- SQL
- TypeScript
Benefits
- Competitive Salary and Equity
- Health Insurance: Medical (100% paid), dental, and vision benefits for you and your family
- Generous PTO policy and paid parental leave
- Fully upgraded Apple MacBook and 4K monitor (for engineering team only)
- Home office stipend of $1,000
- Flexible work hours in a fully remote work environment
- Fully sponsored individual coaching for all employees to help foster a culture of personal reflection and growth (optional but encouraged)