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
Help define the technical direction for Fastino’s platform, contributing to the architecture decisions that let us scale without slowing down. Design and build our agent harness, including the runtime loop, tool calling, context management, and error recovery, plus the eval harnesses that measure agent reliability. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Required: 8+ years of hands-on software engineering experience, including time as a tech lead or driving architecture across a team or product
- Required: Strong architectural skills, with a track record of designing and scaling production systems that handle real load
- Required: Production experience with agentic systems, AI training pipelines, or inference pipelines, ideally more than one
- Required: Hands-on experience deploying software on AWS with Kubernetes and Terraform, ideally into customer-managed or multi-tenant environments
- Required: Experience building and running sandboxed execution environments for agent workloads, ideally with Modal Sandboxes
- Required: Extensive experience building with AI coding agents, and a demonstrated ability to guide them to produce clean, production-quality code. You know how to scope tasks, review output critically, and catch what agents get wrong
More about this role
Full-time | San Francisco
Join us at Fastino as we build the next generation of LLMs . Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge, is on a mission to develop specialized, efficient AI.
Fastino's GLiNER family of open source models has been downloaded more than 50 million times and is used by companies such as NVIDIA, Meta, and Airbnb
Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, GitHub CEO Thomas Dohmke, Docker CEO Scott Johnston, and others.
Help define the technical direction for Fastino’s platform, contributing to the architecture decisions that let us scale without slowing down.
Design and build our agent harness, including the runtime loop, tool calling, context management, and error recovery, plus the eval harnesses that measure agent reliability.
Build and scale our AI training and inference pipelines, pushing on latency, throughput, and cost as usage grows.
Own deployment of the Fastino platform into customer-managed AWS VPCs using Kubernetes and Terraform, including install, upgrade, and observability paths that work...
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