4 months ago
Base Salary
$201k - $272k/yr
Responsibilities
- Design and own production AI systems end-to-end.
- Make informed build/don't-build decisions based on data.
- Evolve the AI stack from model infrastructure to evaluation tooling.
- Design evaluation systems to measure performance and quality.
- Build tooling for early regression detection.
- Analyze production outputs to identify failure patterns.
- Lead AI architecture decisions and mentor senior engineers.
- Partner with product and compliance teams for technical solutions.
- Ship systems optimized for latency, cost, and reliability.
Requirements
- 10+ years of software engineering experience.
- 3+ years working directly on ML/AI systems.
- Experience with production LLM systems.
- Deep knowledge of RAG, embeddings, and vector databases.
- Strong Python skills; TypeScript is a plus.
- Experience in designing evaluation frameworks.
- Ability to analyze complex problems and provide clear recommendations.
- Strong communication skills for cross-functional collaboration.
Benefits
- Stock equity to share in the company's success.
- Up to 100% employer-paid premiums for health coverage.
- Comprehensive financial benefits including a 401(k) plan.
- Paid Parental Leave and family-building benefits.
- Generous stipends for professional and personal development.
- Flexible vacation policy and paid holidays.
Tech Stack
Categories
AI & MLData Science