{"id":1065820,"url":"https://alion.io/job/noom-agentic-engineer-new-grad-2","title":"Agentic Engineer (New Grad)","company":{"id":58707,"name":"Noom","domain":"noom.com","url":"https://alion.io/company/noom","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Princeton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":75000,"max":85000,"currency":"USD","period":"year","gross":null,"usd_annual":85000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"Kotlin","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"Claude Code","optional":true},{"name":"CrewAI","optional":true},{"name":"Cursor","optional":true},{"name":"Docker","optional":true},{"name":"Function Calling","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Machine Learning","optional":true},{"name":"Microsoft Teams","optional":true},{"name":"NLP","optional":true},{"name":"OpenAI Codex","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-09-18T15:04:05Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-09-24T01:10:56Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"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.\nOur Engineering Team\n\nAt 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.\nAbout the Role\nAs 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.\nThis 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.\nYou Will\nContribute to the development of agent-driven systems that translate product requirements into executable specifications and working prototypes\nHelp implement and iterate on multi-agent coordination workflows supporting cross-functional teams\nWrite clean, maintainable code to build LLM-powered systems using tools such as OpenAI and Anthropic\nIntegrate systems with CI/CD pipelines (e.g., GitHub Actions) and support infrastructure-as-code initiatives\nBuild and improve observability systems, including logging, telemetry, and failure handling for AI workflows\nDevelop and refine evaluation frameworks for LLM outputs, including automated testing and regression detection\nParticipate in human-in-the-loop processes to ensure quality and reliability of AI-generated outputs\nCollaborate cross-functionally with engineering, data science, and product teams\nStay current with emerging AI models, agent frameworks, and developer tools, sharing insights with the team\nAbout You\n\n If you’re interested in shaping the future of health by building autonomous systems that redefine how software is created, this role may be for you!\nYou Have\nBachelor’s degree in Computer Science, Software Engineering, or a related field (or expected within 6 months)\nStrong programming fundamentals in at least one of: Java, Kotlin, or Python\nFamiliarity with software development practices including Git, code reviews, debugging, and testing\nDemonstrated curiosity about AI and language models through coursework, projects, or independent exploration\nStrong communication skills and a collaborative mindset in fast-moving, ambiguous environments\nNice to Have\nExperience working with LLM APIs (e.g., OpenAI, Anthropic), including prompt engineering or tool use\nExposure to NLP, machine learning, or language model research through academic or project work\nFamiliarity with agent orchestration frameworks such as LangGraph, CrewAI, or Autogen\nExperience with AI-native developer tools such as Cursor, Codex, or Claude Code\nBasic knowledge of cloud platforms (AWS, GCP) or containerization (Docker, Kubernetes)\nContributions to open-source projects, research publications, or standout academic projects\nWhat Makes This Job Amazing\nOpportunity to work on cutting-edge agentic AI systems with real-world impact across a growing organization\nHigh ownership and autonomy from day one, with mentorship from experienced engineers\nExposure to cross-functional problems spanning product, marketing, and business operations\nA fast-paced, learning-driven environment where your ideas and curiosity are valued\nWhat You'll Earn and Enjoy\nPay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value.\n Investment in your future. A 401(k) with company match to help you build long-term financial security.\nTime to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.\nCare 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.\nSupport for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.\n 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.\nThe 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. \nThis role is eligible for our Princeton office location, operating on a hybrid schedule (2 days per week on-site).\nMore About Noom\nNoom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.\nWe're more than a health tech company-we're a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. We've been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz-including honors for technology and diversity.\nJoin us in shaping the future of health. You'll be part of a passionate, mission-driven team working to make the world a healthier place-one habit at a time.\nTo help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @ noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.","description_format":"text","description_chars":7015,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Digital Health"],"lifecycle":[{"event":"open","at":"2026-09-19T17:12:09Z"}],"liveness":{"score":83,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.826,"p_room":1,"age_days":4,"expected_fill_days":15,"reasons":["conf:0","velocity","win:early","comp:junior"],"computed_at":"2026-09-23T05:45:00Z"},"pay":{"stated_usd_annual":85000,"is_top_pay":false},"html_url":"https://alion.io/job/noom-agentic-engineer-new-grad-2","json_url":"https://alion.io/job/noom-agentic-engineer-new-grad-2.json","meta":{"generated_at":"2026-09-24T02:51:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}