
Forward Deployed Engineer
Required skills
- Forward Deployed Engineer
- language models
- GLiNER
- Python
- TypeScript
- Go
- Rust
- LLM
- ML systems
- production
Nice to have
- early stage startup experience
- travel to customer sites
Role summary
Fastino is seeking a Forward Deployed Engineer to embed within customer engineering teams, integrating and deploying their specialized language models into production systems. This role involves writing code for integrations, data pipelines, and services, fine-tuning models on customer data, and debugging complex issues across infrastructure and performance. The engineer will own the technical aspects of deals, translate field learnings into reusable tools and SDK improvements, and relay customer feedback to research and product teams. The ideal candidate has 3+ years of software engineering experience, strong Python skills, familiarity with at least one of TypeScript, Go, or Rust, and hands-on experience with LLM/ML systems in production, cloud infrastructure, and system design.
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.
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