Noom pairs GLP-1 medication with a personalized program - so it’s not just weight loss, it’s change that lasts. Backed by Sequoia.
About the role
As we continue to grow, we’re seeking an Agentic Engineer (New Grad) to help build autonomous, AI-driven systems that power innovation across Noom. In this role, you’ll work at the intersection of AI and software engineering, contributing to the development of agent-based workflows that support teams across product, marketing, people, finance, and growth.
What they're looking for
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or expected within 6 months)
- Strong programming fundamentals in at least one of: Java, Kotlin, or Python
- Familiarity with software development practices including Git, code reviews, debugging, and testing
- Demonstrated curiosity about AI and language models through coursework, projects, or independent exploration
- Strong communication skills and a collaborative mindset in fast-moving, ambiguous environments
More about this role
Noom is on a mission to help people live better, longer. We're a consumer-led digital health company, connecting people to content, coaching, community, and clinicians to build lasting habits and live healthier lives. We're a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you'll see the impact of your work on the world.
Our Engineering Team
At Noom, Engineering is at the forefront of building scalable, intelligent systems that power healthier lives. Our team blends cutting-edge technology with behavioral science to create impactful, user-centered products. As we invest in the next generation of AI-powered capabilities, our Engineering organization is leading the way in developing agentic systems that transform how work gets done across the company.
As we continue to grow, we’re seeking an Agentic Engineer (New Grad) to help build autonomous, AI-driven systems that power innovation across Noom. In this role, you’ll work at the intersection of AI and software engineering, contributing to the development of agent-based workflows that support teams across product, marketing, people, finance, and growth.
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