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
You'll be the engineer who sits inside our customers' stacks and gets them running in production. If you like hard technical problems and talking to the people who have them, this is for you. Embed with customer engineering teams to scope, build, and deploy Fastino models into their production systems. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- BS or MS in Computer Science or a related field (or equivalent experience)
- 3+ years as a software engineer, ideally with some time in a customer facing role (FDE, solutions engineering, consulting, or similar)
- Strong in Python. Comfortable with at least one of TypeScript, Go, or Rust
- Hands on experience shipping LLM or ML systems to production: APIs, fine-tuning, evals, RAG, or agents
- Solid with cloud and infra basics: AWS/GCP/Azure, Docker, Kubernetes, networking, and security
- Clear communicator who can explain tradeoffs to an engineer and a VP in the same meeting
More about this role
Full-time | San Francisco
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.
You'll be the engineer who sits inside our customers' stacks and gets them running in production. If you like hard technical problems and talking to the people who have them, this is for you.
Embed with customer engineering teams to scope, build, and deploy Fastino models into their production systems.
Write real code: integrations, data pipelines, eval harnesses, and services that run on customer infra (cloud, VPC, on prem).
Fine-tune and evaluate models on customer data, and prove they beat the baseline on accuracy, latency, and cost.
Debug the messy stuff: auth, networking, GPU and inference performance, data quality, weird edge cases.
Own the technical side of deals from first call through go-live,...
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