NeueHealth एक स्वास्थ्य सेवा कंपनी है, जो देखभाल को अधिक सुलभ, किफायती और मरीजों की जरूरतों के प्रति अधिक responsive बनाने के लिए काम करती है। इसका व्यवसाय NeueCare को NeueSolutions के साथ जोड़ता है। NeueCare अपने स्वामित्व वाले और संबद्ध क्लीनिकों के माध्यम से व्यापक सेवाएं प्रदान करता है, जबकि NeueSolutions स्वतंत्र स्वास्थ्य सेवा प्रदाताओं को प्रदर्शन-आधारित देखभाल व्यवस्थाओं में भाग लेने में सहायता करता है। स्वास्थ्य सेवाओं के उपभोक्ताओं, प्रदाताओं और भुगतानकर्ताओं को जोड़कर, NeueHealth देखभाल के अनुभवों और स्वास्थ्य परिणामों को बेहतर बनाने पर ध्यान केंद्रित करती है। इसका कार्य स्वास्थ्य सेवा प्रदान करने, प्रदाताओं को सहयोग देने और स्वास्थ्य बीमा से जुड़ी सेवाओं तक फैला हुआ है, जिससे उन पेशेवरों के लिए अवसर उपलब्ध होते हैं जो देखभाल के समन्वय और वितरण के तरीके में बदलाव लाने में रुचि रखते हैं।
Senior AI Engineer, Agentic AI and RAG — NeueHealth (Remote)
Build agentic workflows, retrieval-augmented generation systems, and production AI services for NeueHealth’s healthcare operations. Lead the delivery of safe, observable, and compliant AI capabilities at enterprise scale.
विवरण
- Own the end-to-end delivery of complex AI products, including agentic workflows, RAG systems, and supporting services
- Partner with Product, Engineering, Data, clinical, and operational teams
- Convert stakeholder needs into validated, access-aware AI workflows with defined behavior, acceptance criteria, risk controls, and delivery trade-offs
- Shape AI workflow and RAG product lines across ingestion, retrieval quality, attribution, confidence handling, agent tools, and human-review pathways
- Build dependable AI control layers and improve healthcare AI models through prompting, retrieval, reranking, fine-tuning, and model selection
- Lead healthcare AI evaluation and release practices, including adversarial testing, regression thresholds, release gates, and production telemetry
- Provide senior technical guidance through architecture and code reviews, incident response, mentoring, and reusable engineering improvements
- Deliver healthcare AI services with approved cloud capabilities and HITRUST-aligned safeguards for PHI/PII, security, privacy, auditability, responsible AI, and compliance
आवश्यकताएँ
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, Linguistics, or a related discipline; equivalent practical experience may be accepted
- Usually 5 or more years of relevant engineering experience, including ownership of complex production components or technical leadership of feature delivery
- Practical experience building and operating production or near-production applications powered by AI, machine learning, or large language models
- Strong software engineering ability across service and data-contract design, testing, CI/CD, observability, debugging, reliability, and operational support
- Advanced proficiency in Python, Java, Scala, C#, TypeScript, or a comparable modern programming language
- Thorough knowledge of structured outputs, RAG, tool use, evaluations, guardrails, monitoring, and human-in-the-loop patterns
- Experience with cloud services and data-intensive systems, with the ability to work across structured-data products and unstructured-data pipelines
- Evidence of independently exploring emerging AI capabilities through prototypes, tools, experiments, or applications
- Experience converting AI experimentation into enterprise or regulated production solutions with focus on safety, reliability, security, governance, and measurable results
- Preferred: healthcare experience with PHI/PII, clinical or operational workflows, payer or provider operations, auditability, safety review, compliance controls, or value-based care
- Preferred: familiarity with cloud AI and data platforms such as Azure, AWS, GCP, Databricks, Agent Bricks, Genie, Azure AI Foundry/Azure OpenAI, Azure ML, AKS/Kubernetes, OpenTelemetry, or AI observability and evaluation tools
- Preferred: experience with model benchmarking, selection, adaptation, fine-tuning, reranking, or other domain-model optimization methods
- Preferred: experience leading cross-team technical initiatives or mentoring multiple engineers
लाभ
- Work-from-home role
- Equal Opportunity Employer committed to building a diverse workforce