AI Engineer
AI features · quality and evaluation
About the role
Build AI features dispatchers can trust. You'd define how they are measured and keep them reliable.
Responsibilities
- Ship AI features from prototype to production.
- Build the evaluation harness and keep regressions visible.
- Tune prompts, retrieval and fallbacks for messy real-world input.
- Sit with dispatchers and turn their corrections into improvements.
Basic qualifications
- 3+ years shipping production ML or LLM features.
- Strong Python or TypeScript. Comfort with both is a plus.
- Built an eval set and used it to drive a measurable improvement.
- Pragmatic about latency, cost and fallbacks.
Preferred skills and experience
- Retrieval-augmented systems at scale.
- Experience with field-collected or dirty real-world data.
- Happy to remove a feature nobody uses.
About Zaras
Zaras builds software for the trades: scheduling, estimates, invoices and payments on one job record. The team is small and spends real time in the field. There's no management layer to hide in, so everyone ships.
Zaras is an equal opportunity employer.
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