Fastino Labs builds open language and decision models for agentic AI, including GLiNER, GLiDE and the Fastino fine-tuning agent. See our research and models. Backed by Insight.
About the role
This is one of our most senior IC engineering role. You'll set the technical direction for how agents get built on Fastino models, write a lot of the core code yourself, and raise the bar for everyone around you. You've built agentic systems that real users depend on, and you have strong opinions about what works. Design and own the architecture for agentic systems built on Fastino's small, fast models: planning, tool use, memory, and multi-agent orchestration. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of software engineering experience, with 3+ years building with LLMs or ML in production
- A track record of shipping agentic systems that real users rely on, and the scars to prove it
- Deep experience across the stack: prompt and context engineering, tool and API design, vector DBs, Kubernetes, and inference serving
- Strong understanding of model behavior: fine-tuning, evals, failure modes, and latency/cost tradeoffs
- Experience setting technical direction across teams, not just within one project
- You write clearly and make complicated systems feel simple
More about this role
Full-time | San Francisco or Remote
We're building specialized, efficient language models that beat big general models on the tasks that matter. Our team includes alumni from Google Research, Apple, Stanford, and Cambridge.
Our open source GLiNER models have been downloaded 50M+ times and are used by teams at NVIDIA, Meta, and Airbnb.
We've raised $25M (covered in TechCrunch) from Microsoft, Khosla Ventures, Insight Partners, GitHub CEO Thomas Dohmke, Docker CEO Scott Johnston, and others.
This is one of our most senior IC engineering role. You'll set the technical direction for how agents get built on Fastino models, write a lot of the core code yourself, and raise the bar for everyone around you. You've built agentic systems that real users depend on, and you have strong opinions about what works.
Design and own the architecture for agentic systems built on Fastino's small, fast models: planning, tool use, memory, and multi-agent orchestration.
Figure out where specialized models beat frontier LLMs inside agent loops, and prove it with benchmarks and real customer workloads.
Build the evals, telemetry, and feedback loops that tell us when agents are getting better (or worse) and...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs · San Francisco Bay Area