NeueHealth — медициналық көмекті пациенттер үшін қолжетімдірек, арзанырақ әрі олардың қажеттіліктеріне бейімделген етуге бағытталған денсаулық сақтау компаниясы. Компанияның қызметі өзіне тиесілі және серіктес клиникалар арқылы кешенді қызмет көрсететін NeueCare мен тәуелсіз медициналық қызмет көрсетушілерге нәтижеге негізделген медициналық көмек көрсету үлгілеріне қатысуға көмектесетін NeueSolutions бағыттарын біріктіреді. NeueHealth денсаулық сақтау қызметтерін алушыларды, медициналық қызмет көрсетушілерді және төлеушілерді байланыстыру арқылы көмек алу тәжірибесі мен денсаулық нәтижелерін жақсартуға назар аударады. Компанияның қызметі медициналық көмек көрсетуді, қызмет көрсетушілерді қолдауды және медициналық сақтандыруға қатысты қызметтерді қамтиды. Бұл салалар медициналық көмектің үйлестірілуі мен көрсетілу тәсілдерін өзгертуге қызығушылық танытатын мамандарға мүмкіндік береді.
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.
Сипаттама
- 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
Талаптар
- 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
Артықшылықтар
- Work-from-home role
- Equal Opportunity Employer committed to building a diverse workforce