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NeueHealth
NeueHealth
1 001 – 5 000 Xodimlar
MoliyaSog‘liqni saqlashTibbiy sug‘urta
NeueHealth tibbiy yordamni bemorlar uchun yanada qulay, hamyonbop va ularning ehtiyojlariga mos qilishga intiluvchi sog‘liqni saqlash kompaniyasidir. Kompaniya o‘ziga qarashli va hamkor klinikalar orqali keng qamrovli xizmatlar ko‘rsatuvchi NeueCare hamda mustaqil tibbiy xizmat ko‘rsatuvchilarga natijaga asoslangan tibbiy yordam kelishuvlarida qatnashishga yordam beruvchi NeueSolutions yo‘nalishlarini birlashtiradi. NeueHealth tibbiy xizmatlardan foydalanuvchilar, xizmat ko‘rsatuvchilar va to‘lovchilarni bog‘lash orqali yordam olish tajribasi va salomatlik natijalarini yaxshilashga e’tibor qaratadi. Kompaniya faoliyati tibbiy yordam ko‘rsatish, xizmat ko‘rsatuvchilarni qo‘llab-quvvatlash va tibbiy sug‘urtaga oid xizmatlarni qamrab oladi. Bu yo‘nalishlar tibbiy yordamni muvofiqlashtirish va ko‘rsatish usullarini o‘zgartirishga qiziqadigan mutaxassislar uchun imkoniyatlar yaratadi.
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Kompaniyadagi ish o‘rinlari

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.

USAmerika Qo‘shma ShtatlariFLFloridaMNMinnesotaTXTexasMasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSAzureBulutGoogle Cloud PlatformJavaKubernetesPythonScalaTypeScript

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • Work-from-home role
  • Equal Opportunity Employer committed to building a diverse workforce

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B2CFintexKripto
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KonsaltingLogistikaSog‘liqni saqlash
PLPolsha
18 260 zł – 24 900 zł / oy
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KonsaltingLogistikaSog‘liqni saqlash
ESIspaniyaGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: ispanchaBackend muhandisiDasturiy ta’minot muhandisi
.NETAWSAzureBulutDockerGoogle Cloud PlatformKubernetesTerraform

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