Full Stack Engineer (Serverless)

fal•San Francisco, CA

10d•$150,000 - $230,000•Onsite

About The Position

fal is building the fastest and most scalable infrastructure for AI inference. Fal Serverless powers 1,300+ endpoints on the fal Marketplace and handles tens of millions of requests per day across production workloads. Enterprises use fal Serverless to deploy, operate, and scale custom AI models without managing infrastructure themselves. Autoscaling, observability, and operational complexity are handled end-to-end by fal’s platform and UI. Serverless began as internal infrastructure built to support fal’s own scale and was released publicly to enterprise customers in early 2025. It is now a core, revenue-driving product with rapidly growing adoption. fal is one of the fastest-growing AI startups, reaching Series D at a $4.5B valuation with a lean team of ~70 employees. You’ll be joining early, with meaningful ownership and direct impact on a foundational product. About this role: As a Full Stack Engineer on Serverless, you will build the core product across frontend and backend that powers fal’s Serverless platform. This is a deeply product-focused role. You will work side-by-side with Product and Infrastructure to design and ship reusable, scalable systems that enterprise customers rely on in production every day. You will be a foundational technical owner of fal Serverless as it scales to thousands of enterprise customers, with real responsibility, autonomy, and impact. This is a chance to help build a new product vertical from the ground up inside a company that is already scaling at rocket-ship speed.

Requirements

Strong experience working across both frontend and backend
Proficiency with TypeScript, Python, Postgres, and Next.js
Experience owning features end-to-end in production systems
Ability to context switch between UI, backend, and performance work
Product-minded engineer who values clean abstractions and long-term maintainability
Comfortable working in a fast-moving, low-process environment

Nice To Haves

Experience building developer platforms or infrastructure-adjacent products
Familiarity with observability tooling (logging, metrics, tracing) in production environments
Background in distributed systems, container orchestration, or cloud-native architectures
Experience with real-time systems, streaming logs, or high-throughput data pipelines
Exposure to technologies such as Kubernetes, Prometheus, Datadog, gRPC, or similar systems
Entrepreneurial mindset and strong ownership mentality

Responsibilities

Build and maintain core Serverless UI features (dashboards, logs, observability, configuration, usage)
Design and implement backend APIs that power the Serverless product experience
Improve performance, reliability, and scalability of customer-facing systems
Work closely with Infrastructure to ensure product features align with platform capabilities
Own features end-to-end, from design through production and iteration