Distinguished Agent Engineer
fastino · San Francisco Bay Area
Frontier labremotedistinguished
At a glance
Highlights
- Set technical direction for how agents get built on Fastino models.
- Prove where specialized small models beat frontier LLMs in agent loops.
- Build evals and feedback loops that show when agents improve and why.
Ideal candidate
Senior builder who has shipped agentic systems real users depend on and has strong opinions on what works. You write clearly, set technical direction, and love making agents fast and reliable.
Requirements
- 5+ years software engineering with 3+ years building LLMs or ML in production
- Track record shipping agentic systems relied on by real users
- Deep experience with prompt engineering, tool/API design, vector DBs, Kubernetes, inference serving
- Strong understanding of fine-tuning, evals, failure modes, latency/cost tradeoffs
- Experience setting technical direction across teams
- Clear writer who simplifies complex systems
Lab profile
About fastino
Builds specialized, efficient LLMs and agentic systems that outperform general models on targeted tasks.
What they build
- Specialized efficient language models
- Agentic systems
- GLiNER open-source models
Known for
- Team alumni from Google Research, Apple, Stanford, Cambridge
- GLiNER models downloaded 50M+ times
- Models used by teams at NVIDIA, Meta, Airbnb
Key facts
- Raised $25M seed round
- Backed by Microsoft and Khosla
- Based in San Francisco
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