ML Fullstack Developer

Job Description

Insight Global's healthcare client is hiring for a ML Full‑Stack Engineer. Candidates will primarily focus on backend development while contributing to frontend features as needed, supporting an AI‑driven 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. You’ll work closely with cross‑functional 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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 5–6 years of solid full‑stack engineering experience

• Strong backend development experience with Node.js

• Experience building APIs using FastAPI or similar backend frameworks

• Frontend experience with React and TypeScript

• Hands‑on experience working in cloud environments

Ability to work across both backend (60%) and frontend (40%) responsibilities

• Experience with GCP (preferred), though AWS or Azure experience is acceptable

• Familiarity with AI tools and LLMs, including OpenAI‑based models or similar • Exposure to Gemini Cloud, Vertex AI, or comparable AI platforms

• Experience using Material UI or similar component libraries

Background working in experimentation‑driven or AI‑enabled platforms