AI Engineer
Engineering · Remote (Global)
Build reliable, evaluated LLM features — RAG, agents, and the eval harnesses that keep them honest.
What you'll do
- Build retrieval and agent pipelines for client products
- Design evaluation sets and regression suites
- Own cost, latency, and quality budgets in production
- Stay provider-agnostic across model vendors
What we're looking for
- 3+ years software engineering, Python and/or TypeScript
- Hands-on experience shipping LLM features to production
- Understanding of retrieval, embeddings, and evaluation
- Pragmatism about when not to use an LLM
How we hire
- 1
Apply
Tell us about yourself and why this role fits.
- 2
We review
A real human reads your application within a few days.
- 3
Intro call
A short conversation about the role, team, and expectations.
- 4
Technical chat
Practical discussion aligned to how you'd work day to day.
- 5
Offer
Clear terms, no surprise stages.
We read every application personally — no ATS black hole. We aim to respond within 3–5 business days.
Job application
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