Level

Fal AI

Senior Software Engineer, Full Stack (Serverless)

Fal AI is hiring a Senior Software Engineer, Full Stack (Serverless) in San Francisco, United States. It pays $180k-$230k a year and Level rates it ; you can apply on Level.

AI in this role

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.

How we rate this

Senior Software Engineer, Full Stack (Serverless) at Fal AI rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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