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Fal is building the generative media ecosystem powering the next generation of AI products. The company provides infrastructure, tools, and model access that enable teams to move from idea to production at scale. Fal serves developers and enterprises with a unified platform combining high-performance inference, orchestration, and observability.
As a Senior Full Stack Engineer on the Serverless team, you will be a foundational technical owner of fal's Serverless platform as it scales to thousands of enterprise customers. This is a deeply product-focused role with real responsibility, autonomy, and impact. You will work side-by-side with Product and Infrastructure teams to design and ship reusable, scalable systems that enterprise customers rely on in production.
Key responsibilities include:
- Building and maintaining core Serverless UI features including dashboards, logs, observability, configuration, and usage tracking
- Designing and implementing backend APIs that power the Serverless product experience
- Improving performance, reliability, and scalability of customer-facing systems
- Working closely with Infrastructure to ensure product features align with platform capabilities
- Owning features end-to-end, from design through production and iteration
This is an opportunity to help build a new product vertical from the ground up inside a company scaling at high velocity.
QUALIFICATIONS:
- Minimum 5+ years of 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
