ML Fullstack Developer

Job Description Insight Global's healthcare client is hiring for a ML Fullu2011Stack Engineer. Candidates will primarily focus on backend development while contributing to frontend features as needed, supporting an AIu2011driven platform that delivers personalized healthcare recommendations. Day to day, the role involves building and enhancing backend APIs, integrating AI and LLM capabilities into application workflows, and supporting experimentation, content creation, and campaign launch platforms. Youu2019ll work closely with crossu2011functional teams to develop scalable application and platform features, with AI embedded within the backend to power personalization and automation across the member health journey. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022 5u20136 years of solid fullu2011stack engineering experience u2022 Strong backend development experience with Node.js u2022 Experience building APIs using FastAPI or similar backend frameworks u2022 Frontend experience with React and TypeScript u2022 Handsu2011on experience working in cloud environments Ability to work across both backend (60%) and frontend (40%) responsibilities u2022 Experience with GCP (preferred), though AWS or Azure experience is acceptable u2022 Familiarity with AI tools and LLMs, including OpenAIu2011based models or similar u2022 Exposure to Gemini Cloud, Vertex AI, or comparable AI platforms u2022 Experience using Material UI or similar component libraries Background working in experimentationu2011driven or AIu2011enabled platforms

Created: 2026-03-27