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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 offers a unified platform combining high-performance inference, orchestration, and observability for developers and enterprises building AI-native products.
In this role, you will work on the forefront of the generative AI media revolution. You'll leverage your backend expertise to design and build high-performance, reliable HTTP proxies to partner model providers. Your responsibilities include:
- Identifying, designing, and developing foundational HTTP proxies and fal serverless endpoints for third-party model providers
- Writing clear, well-tested, and maintainable software
- Analyzing and improving the robustness and scalability of existing proxies, APIs, and fallback infrastructure
- Conducting design and code reviews
- Creating developer documentation
- Developing testing strategies for robustness and fault tolerance
This is an ideal opportunity for engineers who want deep experience with backend APIs, robust HTTP client and server design, and who are excited about the intersection of infrastructure and generative AI.
QUALIFICATIONS:
- 3+ years of demonstrated experience 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
