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7 дней назад

AI/ML Engineer (Agentic Systems)

162 900 - 271 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Europe/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI/ML Engineer (Agentic Systems) (AI/ML, Agentic Systems): Building and hardening production agentic workflows and orchestration layers for AI-based analytical tools with an accent on prompt architecture, tool/API integrations, and regulated healthcare environments. Focus on monitoring LLM systems, evaluating reliability and cost, integrating structured data, and meeting governance, audit, and compliance requirements.

Location: Hybrid, with on-site work 2 to 3 days per week at NYHQ, Collegeville, PA, Cambridge, MA, Groton, CT, any hirify.global site in Europe, or Montreal, QC. Permanent U.S. work authorization is required.

Annual base salary: $162,900–$271,500, plus a 20% bonus target and eligibility for a share-based long-term incentive program.

Company

hirify.global develops medicines and healthcare solutions for patients worldwide.

What you will do

  • Own orchestration frameworks and agent architectures for AI-based analytical workflows.
  • Build, harden, and deploy production-grade agentic systems, including prompt architectures and tool/API integrations.
  • Translate analytical methodologies and evaluation criteria into reliable production agents.
  • Integrate agents with clean, well-structured data in partnership with data engineering.
  • Implement monitoring, evaluation, and cost controls for LLM-based systems.
  • Document architecture, prompts, and integrations to support governance, audits, and compliance.

Requirements

  • Degree in Computer Science, Software Engineering, Machine Learning, or a related field.
  • 7+ years of software or ML engineering experience with a master's degree, or 8+ years with a bachelor's degree, notably in healthcare or pharma.
  • Experience with agentic frameworks such as LangGraph, Pydantic AI, or similar technologies.
  • Strong software engineering experience, including production system design and testing.
  • Experience integrating LLM APIs and applying MLOps practices such as evaluation, monitoring, and cost control.
  • Effective English communication and permanent U.S. work authorization are required; U.S. visa sponsorship is not available.

Nice to have

  • Healthcare data experience.
  • Experience working with scientific, technical, regulatory, and business stakeholders.
  • Understanding of technology applications in the life sciences sector.

Culture & Benefits

  • Work in a regulated environment focused on patient safety, governance, auditability, and compliance.
  • Collaborate across data science, data engineering, analytics, and governance functions.
  • Benefits include a 401(k) with hirify.global matching contributions and an additional retirement savings contribution.
  • Paid vacation, holidays, personal days, caregiver and parental leave, and medical leave.
  • Medical, prescription drug, dental, and vision coverage.

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