Job Description MUST SIT IN FOOTPRINT STATES - FL, GA, AL, MS, SC, NC, VA, TN, MS, TX, OK, CO, SD, WY, ID, NV, MI, IN, OH, MA, RI, MN, DE A collaborative and innovative team culture, focused on exploration and continuous learning. Opportunity to work in a transformational office aimed at staying competitive within the healthcare industry. 27-person team with product managers, engineers, data scientists, etc. Freedom to allocate 20% of time for exploring new technologies and market trends. Growth Opportunities: Significant opportunities for career advancement into leadership roles, including Architect and Team Lead positions 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 HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Must Haves: Bachelor’s degree, 6+ years of experience in full stack software engineering, AI/ML, or related fields. Expertise in frontend (React/Next.js or similar frameworks) and backend (Python). Core AI & Data: Hands-on with LLMs, Multi-agent frameworks (LangGraph/A2A), Vector databases, and MLOps pipelines. Platform & Infra: Expertise in development of & deploying microservices and agents to Kubernetes using DevSecOps and secure API architectures. AI Governance: Awareness of Responsible AI (RAI) with implementation of PHI/PII scrubbing, hallucination detection, prompt injection mitigation, or similar controls. Evaluation: Experience implementing LLM eval frameworks (e.g., Ragas, Phoenix) to measure faithfulness and relevancy. Healthcare Domain: Epic/FHIR integration and clinical terminology. Advanced AI: Knowledge Graphs (GraphRAG), Voice-AI, and "Deep Agents." Cloud Stack: Deep experience with Azure and Databricks. Community: Open-source AI/ML contributions and/or publications.