About the Company

Our client is a San Francisco startup building next-generation AI agents for workflow automation in the financial services industry. They’ve recently raised $15M to scale their platform and are hiring the next group of engineers. If you’re excited about shaping core product foundations and pushing the boundaries of autonomous systems, this is that early, high-impact stage to grow with a new team.

What You’ll Do

Build and deploy production-grade AI systems end-to-end, including model development, data pipelines, and FastAPI-based services
Implement and iterate on AI agents that power complex workflow automation
Own major features from idea → prototype → shipped product
Collaborate closely with founders and other early engineers to define technical direction
Contribute to internal tools, infra, observability, and performance improvements as the product scales

Core Requirements

Experience building AI/ML models from scratch, not just fine-tuning
Proficiency in Python and FastAPI
Prior startup experience with a venture backed company that saw growth
Ability to move quickly, take ownership, and operate with limited structure
Solid understanding of modern machine learning fundamentals and production ML practices

Nice to Haves

Experience with Reinforcement Learning
Comfort working with React on occasional full-stack tasks
Master’s or PhD in Machine Learning, AI, or related fields
Experience designing system architecture or contributing to strategic technical decisions

Who This Role Is Great For

Senior engineers who want a near-founding level of impact
Strong new grads or early-career engineers with exceptional internships or research experience
Builders who thrive in 0→1 environments and want their code shipped, used, and iterated on rapidly

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