Build internal eval workflows to measure model quality and guide post-training.
Own fine-tuning product experiences across SFT, RFT, and related capabilities.
Collaborate with users to translate eval/fine-tuning needs into product features.

🎯 Requirements

1 - 7 years of software engineering experience.
Hands-on experience with LLM evaluations and post-training methods.
Full-stack product engineering: backend systems and developer surfaces.
GenAI lifecycle understanding: prompting to productionizing.
User-centric mindset; engage users and triage issues.
Domain-specific evaluation experience (medical, legal, coding).

🎁 Benefits

Meaningful equity in a fast-growing startup.
Comprehensive benefits package.
Collaborate with world-class engineers and AI researchers.

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