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Job opportunity
Forward Deployed Engineer
fastino.ai
San francisco Bay area, California, United States
Source: fastino.ai careers · View original posting
Employer job description
From fastino.ai's posting. “We” and “our” refer to the employer.
Forward Deployed Engineer
Full-time | San Francisco
About Fastino
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.
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.
What You'll Work On
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, working closely with our founders and AEs.
Turn what you build in the field into reusable tools, reference architectures, and SDK improvements.
Bring customer feedback straight to research and product, and push for what customers actually need.
What We'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.
- Ownership mindset. You'd rather fix it yourself than file a ticket.
- Bonus: experience with GLiNER, NER, or other information extraction models.
- Bonus: early stage startup experience.
- Willing to travel to customer sites as needed.
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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