Easiest & most cost-effective way to use Gen AI. fal.ai is how devs integrate dozens of generative media models. FLUX, Kling, Hailuo +1000 more. Backed by Bessemer, Kleiner Perkins and Sequoia.
About the role
Help fal's ML team move faster by building the automation, infrastructure, and developer tooling that makes developing, testing, and deploying generative AI models seamless. You'll own and improve the CI/CD systems supporting our rapidly growing collection of ML models and inference pipelines. Your focus will be on eliminating manual work, accelerating development cycles, and building reliable systems that allow ML engineers to ship new models and optimizations with confidence. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of software engineering background with proficiency in Python and experience building production infrastructure and developer tooling
- Experience designing and operating CI/CD systems using GitHub Actions or comparable technologies
- Deep understanding of automated testing, build systems, dependency management, caching, and parallel execution
- Experience working with containerized workloads, Docker, and cloud infrastructure
- Ability to design reliable distributed systems and debug complex infrastructure failures
- Strong understanding of observability, including logs, metrics, tracing, and automated alerting
More about 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.
Help fal's ML team move faster by building the automation, infrastructure, and developer tooling that makes developing, testing, and deploying generative AI models seamless.
You'll own and improve the CI/CD systems supporting our rapidly growing collection of ML models and inference pipelines. Your focus will be on eliminating manual work, accelerating development cycles, and building reliable systems that allow ML engineers to ship new models and optimizations with confidence.
This is a high-impact engineering role where...
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