Software Engineer, AI Team

Sprig•San Francisco, CA

4d•$150,000 - $230,000•Hybrid

About The Position

Sprig is seeking a Software Engineer for their AI Team. Sprig is a customer survey platform that utilizes AI agents to design studies, adapt surveys in real-time, and generate actionable insights. The company aims to make deep customer understanding effortless and always on, enabling teams to build products their customers love. Sprig is backed by significant funding and is experiencing rapid growth. This role offers the opportunity to work on challenging problems and define the future of AI-powered customer understanding.

Requirements

You have 2+ years of professional experience building and shipping production software.
Care deeply about usability and product outcomes, not just system correctness. You think about how your work enables better customer experiences.
You’ll use TypeScript for most development. Familiarity with technologies like Node.js, Temporal, AWS, or PostgreSQL is a plus. If your main experience is in python or other languages, it is ok if you’re ready to switch to working primarily in TypeScript.
You have a solid understanding of data structures, RESTful APIs, SQL, and testing.
You communicate clearly, contribute to reviews and design discussions, and learn through feedback.
You are motivated to extend skills into distributed AI workflows, inference systems, and prompt and context engineering.

Responsibilities

Build and ship features – Develop backend APIs and AI flows that help product and research teams understand user experiences at scale.
Own small features end-to-end – Take responsibility for well-defined product features, from design and implementation to monitoring and iteration.
Collaborate and learn from experienced engineers – Work closely with senior teammates to review designs, debug complex issues, and improve your technical judgment.
Extend across the stack – while the focus is backend, contribute where needed in the full stack, supporting product surfaces that bring AI analyses and insights to life.
Contribute to quality and shared understanding – Write reliable, testable code, improve observability, and document designs so others can build confidently on your work.