fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
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.
What you’ll work on:
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
Qualifications:
Minimum 5+ years experience working across both frontend and backend
Ability to context switch between UI, backend, and performance work
Proficiency with TypeScript, Python, Postgres, and Next.js
Experience owning features end-to-end in production systems
Product-minded engineer who values clean abstractions and long-term maintainability
Comfortable working in a fast-moving, low-process environment
Experience building developer platforms or infrastructure-adjacent products
Familiarity with observability tooling (logging, metrics, tracing) in production environments
Experience in generative AI inference, training and compute space.
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
What we offer at fal:
Interesting and challenging work
A lot of learning and growth opportunities
Health, dental, and vision insurance (US)
Regular team events and offsite
U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:
fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.