fal.ai
Principal/Senior Forward Deployed Engineer
$180K–$250K
San Francisco · Principal · Full-time · Posted Oct 9, 2026
- Experience
- 5+ years of engineering background.
About the job
Supports enterprise customers in deploying and operationalizing AI workloads on fal Serverless, coordinating between customers and internal teams to get deployments into production.
What you'll do
- Own technical onboarding and deployments; help customers integrate models using fal Serverless APIs, scaling, observability, and deployment workflows.
- Debug customer issues, build proofs of concept or lightweight integrations, and improve onboarding tools and documentation.
- Turn customer needs into product specifications and priorities, working with Product and Infrastructure teams on platform improvements.
What they ask for
- 5+ years of engineering background.
- Experience working with customers in a technical capacity.
- Experience working across APIs, infrastructure, and cloud environments.
- Strong written communication and ability to communicate with technical and non-technical stakeholders.
Nice to have
- Experience with serverless, infrastructure, or developer platforms; observability tooling; distributed systems, Kubernetes, or cloud-native deployment.
- Experience with production AI/ML workloads, generative AI inference, training or compute, or customer documentation and onboarding materials.
Pay
$180K – $250K (base salary)
Tools
TypeScript, Python, Postgres, Next.js, APIs, Kubernetes
AI focus
Helps enterprise customers deploy, scale, and operationalize AI workloads, including integrating models into fal Serverless; generative AI inference, training, and compute experience is strongly preferred.
Model-written summary · the original posting is authoritative