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1 день назад

Senior AI Engineer (Healthcare)

141 100 - 194 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Engineer (Healthcare/LLM): Building and operating production AI systems that transform clinical documents into structured, actionable data with an accent on information extraction, retrieval-augmented generation, and human-in-the-loop workflows. Focus on designing evaluation frameworks, improving accuracy and traceability, and deploying reliable, scalable services in regulated healthcare environments.

Location: New York, NY; hybrid schedule with three days per week in the office and remaining days remote. Candidates must reside within, or be willing to relocate to, a commutable distance from one of the talent markets.

Salary: $141,100–$194,000 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a major U.S. healthcare and health insurance company serving millions of people through insurance and healthcare services.

What you will do

  • Design, develop, deploy, and operate full-stack AI applications, including frontend experiences, APIs, backend services, and data pipelines.
  • Build LLM workflows for extraction, classification, retrieval, summarization, agentic processes, structured outputs, tool calling, and fallback handling.
  • Develop RAG systems with embeddings, vector databases, semantic search, and document-processing pipelines using OCR, ingestion, indexing, and metadata extraction.
  • Create evaluation frameworks with benchmark datasets, regression testing, quality metrics, and human-in-the-loop review workflows for clinicians and domain experts.
  • Optimize production systems for accuracy, latency, reliability, scalability, cost efficiency, observability, and incident response.
  • Deploy cloud-native services with Kubernetes, Docker, and CI/CD while collaborating with product, engineering, clinical, and operational stakeholders.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 5+ years of experience building and operating production software systems.
  • Experience with backend services, APIs, distributed systems, or data-intensive applications.
  • Production experience integrating LLMs through structured outputs, tool calling, RAG, agents, or multi-step workflows, using platforms such as OpenAI, Anthropic, Google, Azure AI, or AWS Bedrock.
  • Strong programming skills in Python and/or TypeScript/JavaScript, plus experience debugging, monitoring, and supporting production applications.
  • Ability to work three days per week from the New York office or a commutable talent-market location.

Nice to have

  • Experience with agentic architecture, Model Context Protocol, tool orchestration, autonomous workflows, or AI evaluation and tracing.
  • Experience with React, Next.js, full-stack architecture, Kubernetes, Docker, cloud environments, CI/CD, and infrastructure automation.
  • Experience in regulated industries such as healthcare, financial services, or government.
  • Familiarity with privacy, compliance, governance, data protection, and AI-assisted development tools.

Culture & Benefits

  • Work on production AI systems processing real healthcare data where accuracy, explainability, traceability, and reliability are essential.
  • Small, high-impact team with end-to-end ownership and rigorous quality standards.
  • Medical, dental, and vision benefits, 401(k), paid time off, company and personal holidays, and paid parental and caregiver leave.
  • Short- and long-term disability coverage, life insurance, and additional whole-person wellness benefits.

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