Customer-Facing AI Deployment Engineer

fastino.ai; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Fastino is hiring a Forward Deployed Engineer in San Francisco to work inside customer stacks and deploy Fastino models in production. You will join a team building specialized language models and face hard technical problems while collaborating with customers and field engineers.

You will embed with customer teams, ship integrations and eval harnesses, and push for scalable, reusable tools and SDK improvements. Strong Python and cloud infra skills are essential for success.

Qualifications

• 3+ years as a software engineer, ideally with some customer-facing experience.
• Strong Python; comfortable with TypeScript, Go, or Rust.
• Hands-on experience shipping LLM/ML systems to production.
• Cloud and infra basics: AWS/GCP/Azure, Docker, Kubernetes, networking, and security.
• Clear communicator with an ownership mindset.
• Bonus: GLiNER/NER experience and early-stage startup exposure.
• Willing to travel to customer sites as needed.

Responsibilities

• Embed with customer engineering teams to scope, build, and deploy Fastino models.
• Write integrations, data pipelines, eval harnesses, and services on customer infra.
• Fine-tune and evaluate models on customer data and beat baselines on accuracy and latency.
• Debug auth, networking, GPU performance, data quality, and edge cases.
• Own the technical side of deals from first call through go-live with founders and AEs.
• Turn field work into reusable tools, reference architectures, and SDK improvements.
• Channel customer feedback to research and product teams.

Skills

Python

TypeScript

Go

Rust

LLM/ML production

Cloud

Docker

Kubernetes

Communication

Ownership mindset

Travel

GLiNER/NER

Education

BS or MS in Computer Science or related field

Tools

AWS

GCP

Azure

Job description

Fastino is hiring a Forward Deployed Engineer in San Francisco to work inside customer stacks and deploy Fastino models in production. You will join a team building specialized language models and face hard technical problems while collaborating with customers and field engineers.

You will embed with customer teams, ship integrations and eval harnesses, and push for scalable, reusable tools and SDK improvements. Strong Python and cloud infra skills are essential for success.