Forward-Deployed AI Deployment Engineer

Fal.ai Inc.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Interesting work

Learning opportunities

US health, dental, vision insurance

Team events & offsites

Job summary

fal is seeking a Forward Deployed Engineer for its Serverless platform in the United States. You will join enterprise onboarding calls, own deployments, and help customers integrate models into fal Serverless, ensuring scalable, observable, and reliable production workloads.

You’ll translate feedback into concrete specs and work cross-functionally to ship improvements. You’ll debug end-to-end across frontend, backend, and infra layers, drive adoption with proofs-of-concept, and advocate for

Qualifications

• 5+ years of engineering background (Proficiency with TypeScript, Python, Postgres, and Next.js)
• Experience working with customers in a technical capacity (Solutions Engineer, Forward Deployed Engineer, DevRel Engineer, or similar)
• Comfortable jumping into ambiguous customer problems and finding solutions fast
• Ability to understand complex systems and communicate clearly with both technical and non-technical stakeholders
• Strong written communication skills (turning customer conversations into actionable specs/tasks)
• Experience working across APIs, infrastructure, and cloud environments
• High ownership mentality: you take responsibility for customer success end-to-end
• Comfort operating in a fast-moving, low-process environment
• Experience with serverless platforms, infra products, or developer platforms
• Familiarity with observability tooling (logs, metrics, tracing)
• Background in distributed systems, Kubernetes, or cloud-native deployment
• Experience with AI/ML workloads in production
• Experience in generative AI inference, training and compute space strongly preferred
• Experience writing documentation, onboarding guides, or customer playbooks

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 closely with Product + Infra to ensure enterprise needs are shipped into the platform
• Build custom proofs-of-concept or lightweight integrations to unblock adoption
• Identify repeatable patterns across customers and turn them into reusable product features
• Improve internal tooling, onboarding flows, and docs based on real customer pain points

Skills

TypeScript

Python

Postgres

Next.js

Job description

fal is seeking a Forward Deployed Engineer for its Serverless platform in the United States. You will join enterprise onboarding calls, own deployments, and help customers integrate models into fal Serverless, ensuring scalable, observable, and reliable production workloads.

You’ll translate feedback into concrete specs and work cross-functionally to ship improvements. You’ll debug end-to-end across frontend, backend, and infra layers, drive adoption with proofs-of-concept, and advocate for