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1 день назад

Senior AI / ML Engineer (LLMs)

200 000 - 235 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Senior AI / ML Engineer (LLMs) (Medical Claims AI): Building and deploying AI-powered features for a medical claims synthesis product with an accent on LLMs, statistical machine learning, retrieval-augmented generation, and embeddings-based retrieval. Focus on extracting information from complex medical documents, developing human-in-the-loop summarization workflows, and translating AI research into reliable production systems.

Location: New York, NY or remote within the United States

Base salary: $200,000–$235,000 annually, plus annual bonus and company equity plan.

Company

hirify.global develops technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, including an AI-powered medical synthesis product.

What you will do

  • Lead AI/ML projects from ideation and requirements gathering through architecture, development, deployment, and optimization.
  • Design, build, and deploy AI-powered and LLM-driven features for medical claims synthesis.
  • Extract key information from complex medical documents and develop human-in-the-loop summarization workflows.
  • Build hybrid solutions combining statistical machine learning, LLMs, RAG, embeddings-based retrieval, vector search, and similarity measures.
  • Make architectural decisions and optimize production systems for scalability, performance, reliability, and maintainability.
  • Collaborate with data labelers, SMEs, Product, and Engineering to evaluate model outputs and improve product performance.

Requirements

  • 5–8+ years of experience writing performant Python code using modern best practices.
  • At least 1 year of experience building and deploying products powered by LLMs in a professional environment.
  • Experience leading technical projects from concept through production deployment and making architecture decisions for AI/ML systems.
  • Hands-on experience with statistical machine learning, LLMs, RAG, embeddings-based models, vector search, and similarity measures.
  • Experience building and integrating API services within service-oriented or microservice architectures.
  • Expertise in evaluating model outputs, prompt engineering, and fine-tuning LLMs for domain-specific applications, with strong cross-functional communication skills.

Nice to have

  • Experience translating state-of-the-art AI/ML research into production code.
  • Experience improving training data and evaluation processes with data labelers and SMEs.
  • Experience building agentic or autonomous AI systems in production.
  • Experience with multimodal data such as images or audio.
  • Experience mentoring engineers or providing technical leadership.

Culture & Benefits

  • Medical, dental, vision, disability, life insurance, AD&D, 401(k) matching, and additional family, wellness, and pet benefits.
  • Paid time off and sick leave, plus 100% paid parental leave: 16 weeks for primary caregivers and 12 weeks for secondary caregivers.
  • Flexible scheduling for new parents returning to work.
  • Catered lunches, happy hours, pet-friendly spaces, and a monthly technology stipend.
  • $1,000 per year for professional development and tuition reimbursement opportunities.
  • Visa sponsorship is available for candidates currently in the U.S. who need to transfer an active visa.

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