Forward Deployed Engineer
Fastino Labs· Engineering
Hybrid (San Francisco Bay Area)Full-timePosted 1w ago
About the role
Embedded engineer who sits inside customer stacks to deploy Fastino models in production, owning technical delivery from first call to go-live and turning field work into reusable tools.
Responsibilities
- 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.
Qualifications
- 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.
Skills
Required:PythonTypeScript / Go / RustLLM/ML systems in productionCloud / Infra
Last updated Oct 20, 2026. Interested? Apply on the company site.
About Fastino Labs
Building the future of small language models
Move beyond general-purpose LLMs. Production-ready, fine-tuned SLMs for Agentic AI.
PioneerGLiNERsmall language modelsAgentic AIAPIsstructured data extractionclassificationreasoning
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