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What you'll do:
- Pick the right model, from frontier APIs to open-weight models.
- Build evals and benchmarks that show whether a change helps.
- Take models to serving and tune cost, latency, and quality.
What you'll need:
- You've fine-tuned or post-trained a model and know what worked.
- You've built evals that changed a decision and shipped LLM features.
- You've served a model in production and cared about cost and latency.
How we hire:
- A 30-minute conversation about what you've shipped.
- A technical deep-dive on one system you owned.
- A working session on a real client problem, then an offer.
Lunon
Lunon is an AI-native consulting firm in New York City, backed by General Catalyst, that embeds engineers inside businesses to ship AI software that runs without them. The team is young, fast-moving, and owns what it ships end to end.