Senior Software Engineer, Agentic Engineering

As we continue to grow, we’re seeking a Senior Software Engineer, Agentic Engineering to architect and ship autonomous systems that transform the software development lifecycle at Noom. We are building a future where every step of product development, from ideation and prototyping to testing, deployment, and monitoring, is driven by intelligent, autonomous agents. This is not a theoretical exercise. This is a hands-on engineering role where you will design, build, and productionize agent-powered workflows that reshape how software gets made. As a senior engineer embedded within Engineering and reporting to the CTO, you will operate at the intersection of LLM orchestration, developer tooling, and production infrastructure, turning manual, human-gated processes into reliable, observable, and autonomous pipelines. You Will Architect and implement agent-driven systems that translate product requirements into executable specifications, generate code scaffolds, and produce working prototypes with minimal human intervention Design and build multi-agent coordination systems and custom orchestration layers to support complex development workflows Develop robust agent observability infrastructure, including telemetry, logging, evaluation pipelines, and failure-mode handling Productionize LLM-powered workflows using providers such as Anthropic Claude, OpenAI, and open-source models Build and integrate with CI/CD pipelines (GitHub Actions, ArgoCD, Jenkins) and infrastructure-as-code tooling (Terraform, Pulumi) Implement evaluation frameworks for LLM outputs, including automated evaluations, regression detection, and human-in-the-loop review Collaborate cross-functionally with product engineering, platform/infrastructure, and data science teams in small, high-autonomy squads Continuously evaluate emerging models, agent frameworks, and AI-native developer tools to evolve Noom’s agentic ecosystem About You You have shipped agentic systems to production, not just demos or prototypes, and understand the gap between a working notebook and a reliable, observable production agent. You think in systems, not scripts, designing for failure modes, observability, human escalation paths, and graceful degradation. You’re opinionated about a future software development lifecycle powered by agentic systems and are willing to lean into that future. You stay current with the rapidly evolving AI and agent ecosystem and can quickly evaluate new models, frameworks, and emerging patterns. 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! You Have 5+ years of software engineering experience with hands-on development in languages such as Java, Python, Kotlin, and TypeScript Hands-on experience building with LLM APIs (OpenAI, Anthropic, open-source models), including prompt engineering, tool use, function calling, and structured outputs Experience with orchestration frameworks such as LangGraph, CrewAI, Autogen, or custom multi-agent systems (prototype or production) Familiarity with modern agentic development tools such as Claude Code, Cursor, and Codex Production experience with AWS, Kubernetes, CI/CD systems (GitHub Actions, ArgoCD), and infrastructure-as-code tools like Terraform Experience implementing evaluation frameworks for LLM outputs, including automated evaluations, regression detection, and human-in-the-loop review What Makes This Job Amazing You’ll help define and build the future of agentic software development at scale Direct visibility and collaboration with executive leadership High autonomy, rapid iteration cycles, and the ability to ship transformative systems quickly The opportunity to pioneer production-grade, observable AI systems in a mission-driven health platform Compensation Package The US base salary range for this full-time position is $165,000-$195,000. This range reflects the minimum and maximum salary targe ... (truncated, view full listing at source)