Senior AI Engineer
Neue Health · Remote
About this role
**Senior AI Engineer** **WHO WE ARE** NeueHealth is a value-driven healthcare company grounded in the belief that all health consumers are entitled to high-quality, coordinated care. By uniquely aligning the interests of health consumers, providers, and payors, we help make healthcare accessible and affordable across the ACA Marketplace, Medicare, and Medicaid. NeueHealth delivers clinical care through owned clinics (Centrum Health and Premier Medical) and through unique partnerships with affiliated providers nationwide. We also enable providers to succeed in performance-based arrangements through a suite of technology and services scaled centrally and deployed locally. **JOB SUMMARY** The Senior AI Engineer leads the design, delivery, and production operation of complex healthcare AI products—from traditional software enhanced by AI to AI-native, agentic workflows. This hands-on role owns prompts, agent behavior, retrieval, model optimization, evaluations, and human-review controls to make high-stakes workflows safe, reliable, observable, and governable. You’ll work independently and in close partnership with Product, business, clinical, operational, Data Engineering, Platform, and Security teams to translate real-world workflows into configuration-driven decision logic and scalable systems for operating AI at enterprise scale. You’ll curate domain datasets, drive evaluation-based iteration, optimize models and retrieval, and help advance what’s possible with AI in a highly regulated healthcare environment. **Location** Work-from-home position. Candidates located in **TX, MN, or FL** are preferred (subject to business need). **DUTIES & RESPONSIBILITIES** - Lead end-to-end delivery of complex AI products, including agentic workflows, RAG systems, and services. - Collaborate with Product, Engineering, Data, and clinical/operational teams. - Translate stakeholder needs into validated, access-aware AI workflows with clear system behavior, acceptance criteria, risk controls, and delivery trade-offs. - Design AI workflow and RAG product lines, including ingestion, retrieval quality, attribution, confidence handling, agent tools, and human-review paths. - Implement workflows with reliable AI control layers; optimize healthcare AI models across prompting, retrieval, reranking, fine-tuning, and model-selection approaches. - Own healthcare AI evaluation and release frameworks, including adversarial testing, regression thresholds, release gates, and production telemetry. - Provide senior technical leadership through design/code reviews, incident response, mentoring, and reusable engineering improvements. - Deliver healthcare AI services using approved cloud capabilities and HITRUST-aligned controls for PHI/PII, security, privacy, auditability, responsible AI, and compliance. **EDUCATION, TRAINING, AND PROFESSIONAL EXPERIENCE** - Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, Linguistics, or a related field (or equivalent practical experience). - Typically **5+ years** of relevant engineering experience, including ownership of complex production components or technical leadership of feature delivery. - Hands-on experience delivering and operating production (or near-production) AI/ML/LLM-enabled applications. - Strong software engineering expertise in service/data-contract design, testing, CI/CD, observability, debugging, reliability, and operational support. - Proficiency in **Python, Java,
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