Enterprise Forward-Deployed AI Engineer (Serverless)

fal; San Francisco (CA); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health, dental, and vision insurance (

Regular team events and offsites

Learning and growth opportunities

Interesting and challenging work

Job summary

fal is the generative media ecosystem powering AI product development at scale. As a Forward Deployed Engineer on Serverless, you will work directly with enterprise customers to deploy, scale, and operationalize AI workloads on fal.

You’ll bridge Sales, Product, and Infra, joining calls, understanding architectures, and turning needs into actionable plans. You’ll own deployments, help integrate models via APIs, troubleshoot end-to-end, and translate feedback into specs.

Qualifications

• 5+ years of engineering background with proficiency in TypeScript, Python, Postgres, and Next.js.
• Experience working with customers in a technical capacity (Solutions Engineer, Forward Deployed Engineer, DevRel Engineer, or similar).
• Comfortable solving ambiguous customer problems and delivering fast solutions.
• Ability to communicate complex systems clearly to technical and non-technical stakeholders.
• Experience with APIs, infrastructure, and cloud environments.
• Strong written communication: turning customer conversations into actionable specs/tasks.

Responsibilities

• Join enterprise onboarding calls and act as the technical owner for deployments
• Help customers integrate their models into fal Serverless (APIs, scaling, observability, deployment workflows)
• Debug customer issues end-to-end across frontend, backend, and infra layers
• Translate customer feedback into clear product specs, tasks, and engineering priorities
• Work with Product + Infra to ensure enterprise needs are shipped into the platform
• Build proofs-of-concept or lightweight integrations to unblock adoption
• Identify repeatable patterns and turn them into reusable product features
• Improve internal tooling, onboarding flows, and docs based on customer pain points

Skills

TypeScript

Python

Postgres

Next.js

Customer-facing engineering

Cloud/infrastructure

Tools

APIs

Serverless platforms

Observability tooling

Job description

fal is the generative media ecosystem powering AI product development at scale. As a Forward Deployed Engineer on Serverless, you will work directly with enterprise customers to deploy, scale, and operationalize AI workloads on fal.

You’ll bridge Sales, Product, and Infra, joining calls, understanding architectures, and turning needs into actionable plans. You’ll own deployments, help integrate models via APIs, troubleshoot end-to-end, and translate feedback into specs.