Software Engineer, Machine Learning-Backend at fal

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:

This role is ideal for engineers who want to be on the forefront of the GenAI media revolution. Utilize your deep experience with backend APIs, robust http client and server design to build high-performance, reliable proxies to our partner model providers.

What you’ll do:

- Identify, design, and develop foundational HTTP proxies and fal serverless endpoints for 3rd party model providers

- Write clear, well-tested, and maintainable software

- Analyze and improve the robustness and scalability of our existing proxies, APIs and fallback infrastructure

- Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance

Qualifications:

- 3+ years of demonstrated experience in building HTTP services with Python

- Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources

- Proficiency in version control practices and CI/CD pipelines.

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 offsites

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.