Agentic Engineer (New Grad)

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. This is a unique opportunity to join at the ground floor of Noom’s agentic AI journey. You’ll collaborate in small, high-autonomy squads alongside experienced engineers, gaining hands-on experience while making meaningful contributions from day one.

You will

• Contribute to the development of agent-driven systems that translate product requirements into executable specifications and working prototypes
• Help implement and iterate on multi-agent coordination workflows supporting cross-functional teams
• Write clean, maintainable code to build LLM-powered systems using tools such as OpenAI and Anthropic
• Integrate systems with CI/CD pipelines (e.g., GitHub Actions) and support infrastructure-as-code initiatives
• Build and improve observability systems, including logging, telemetry, and failure handling for AI workflows
• Develop and refine evaluation frameworks for LLM outputs, including automated testing and regression detection
• Participate in human-in-the-loop processes to ensure quality and reliability of AI-generated outputs
• Collaborate cross-functionally with engineering, data science, and product teams
• Stay current with emerging AI models, agent frameworks, and developer tools, sharing insights with the team

About you

• 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

Nice to have

• Experience working with LLM APIs (e.g., OpenAI, Anthropic), including prompt engineering or tool use
• Exposure to NLP, machine learning, or language model research through academic or project work
• Familiarity with agent orchestration frameworks such as LangGraph, CrewAI, or Autogen
• Experience with AI-native developer tools such as Cursor, Codex, or Claude Code
• Basic knowledge of cloud platforms (AWS, GCP) or containerization (Docker, Kubernetes)
• Contributions to open-source projects, research publications, or standout academic projects

What makes this job amazing

• Opportunity to work on cutting-edge agentic AI systems with real-world impact across a growing organization
• High ownership and autonomy from day one, with mentorship from experienced engineers
• Exposure to cross-functional problems spanning product, marketing, and business operations
• A fast-paced, learning-driven environment where your ideas and curiosity are valued

What you'll earn and enjoy

• Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value.
• Investment in your future. A 401(k) with company match to help you build long-term financial security.
• Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
• Care that covers it all. Access to top-tier medical plans for you and your family, including a premium-free plan option, alongside dental, vision, and life insurance.
• Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
• And more to help you thrive. Stock awards, a performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.

The base salary range for this position is $75,000–$85,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location.

This role is eligible for our Princeton office location, operating on a hybrid schedule (2 days per week on-site).