Production ML Field Engineer — Customer Deployments

fastino.ai; Oregon; Hybrid; USD 140,000 - 220,000; Full time

Job summary

Fastino is seeking a Forward Deployed Engineer to sit inside customer stacks in San Francisco and drive production-grade ML deployments. You will own technical engagements from first call to go-live, writing integrations, data pipelines, and eval harnesses that run on customer infra.

You will fine-tune models, compare against baselines for accuracy, latency, and cost, and debug complex issues across auth, networking, GPU, and security. Travel to customer sites is expected.

Qualifications

• BS or MS in CS or equivalent experience.
• 3+ years as software engineer, customer-facing preferred.
• Strong Python and at least one of TS/Go/Rust.
• Experience shipping LLM/ML systems to production.
• Cloud and infra basics: AWS/GCP/Azure, Docker, Kubernetes, networking, security.
• Able to explain tradeoffs to engineers and executives.
• Ownership mindset; fix it instead of filing tickets.
• Bonus: GLiNER/NER or information extraction.
• Bonus: startup experience.
• Willing to travel to customer sites.

Responsibilities

• Embed with customer teams to scope, build, and deploy Fastino models into production systems.
• Write 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 beat baseline on accuracy, latency, and cost.
• Debug authentication, networking, GPU/inference performance, data quality, edge cases.

Skills

Python

TypeScript

Go

Rust

LLM/ML production

Cloud basics

Docker

Kubernetes

Networking & security

Communicating tradeoffs

Ownership mindset

GLiNER/NER or info extraction

Startup experience

Travel to customer sites

Education

BS in Computer Science

MS in Computer Science

Equivalent experience

Tools

AWS

GCP

Azure

Job description

Fastino is seeking a Forward Deployed Engineer to sit inside customer stacks in San Francisco and drive production-grade ML deployments. You will own technical engagements from first call to go-live, writing integrations, data pipelines, and eval harnesses that run on customer infra.

You will fine-tune models, compare against baselines for accuracy, latency, and cost, and debug complex issues across auth, networking, GPU, and security. Travel to customer sites is expected.