Key skills
AIMLLLMCommunication
About this role
Role Overview
- Build and own the ML infrastructure that makes our AI systems reliable and improvable, including eval frameworks, prompt management, and model observability
- Ship customer-facing AI features on a consistent cadence, balancing new capability delivery with foundational infrastructure work
- Define and implement the team's approach to evals, LLM routing, prompt engineering, and model selection
- Build pragmatic standards that improve quality without slowing the team down
- Contribute to ML technical direction by proactively surfacing trade-offs and architectural options, helping the team make informed decisions on where ML is headed.
Requirements
- 4+ years of experience in ML or AI engineering, with a track record of shipping production ML systems
- Strong hands-on expertise with LLMs, prompt engineering, evals, and model routing
- Experience building tooling and systems that have real customer impact
- Pragmatic about tradeoffs: knows when good enough is the right call and avoids over-engineering; would rather ship something useful today than design something perfect next quarter
- Comfortable working with moderate direction in ambiguous environments, you can take a scoped problem, work through it, and deliver a shipped solution
- Builds with the end user in mind; understands how ML decisions impact real customers and prioritizes customer value over technical elegance
- Elevates teammates through code review, pairing, and clear communication about technical decisions.
Benefits
- Competitive compensation with premium benefits and equity package.