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2 часа назад

Forward Deployed AI Engineer (AI)

200 000 - 350 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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
Forward Deployed AI Engineer (LLM/Agentic AI): Building and deploying production-ready integrations and AI agent systems for scientific R&D organizations, with an accent on customer workflows, reliability, and end-to-end delivery. Focus on designing RAG pipelines and agentic architectures, debugging infrastructure in real time, and translating scientific requirements into scalable product capabilities.

Location: On-site in San Francisco, Boston, or New York; remote work available in the U.S. only. Requires 20–40% travel at peak times.

Salary: $200K–$350K plus equity.

Company

hirify.global Scientific builds and deploys AI scientist agents that accelerate scientific research and the development of new medicines.

What you will do

  • Translate scientific and operational requirements into delivery roadmaps from discovery through production deployment.
  • Embed with pharma and biotech R&D teams to understand workflows and identify high-impact applications for AI agents.
  • Design, implement, and iterate on production-ready integrations, owning features from architecture through rollout.
  • Troubleshoot and debug systems in real time while ensuring reliability, adoption, and successful deployment.
  • Build relationships with scientists, research leaders, executives, and engineering teams as the primary technical AI contact.
  • Capture customer needs and product gaps, and collaborate with Applied AI, engineering, GTM, and account teams to shape solutions and engagements.

Requirements

  • 2+ years of professional software engineering experience shipping production-grade software.
  • Strong proficiency in Python and/or TypeScript/JavaScript, with strong software engineering fundamentals.
  • Hands-on experience deploying LLM-powered or agentic AI systems, including prompt engineering, RAG pipelines, model evaluation, and orchestration frameworks.
  • Ability to reason about system architecture, debug infrastructure-level issues, and write clean production code independently.
  • Strong problem-solving, communication, relationship-building, and end-to-end ownership skills.
  • Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field, or equivalent experience.

Nice to have

  • Experience in life sciences, pharma, biotech, or scientific R&D.
  • Familiarity with regulated data environments such as GxP, HIPAA, or 21 CFR Part 11.
  • Background as a technical founder, forward-deployed engineer, or management consultant.
  • Science degree or research experience alongside engineering skills.

Culture & Benefits

  • Full healthcare coverage, including 100% of premiums for employees and dependents.
  • Paid parental leave, new parent support, fertility coverage, and mental health support.
  • 401(k) company matching, commuter benefits, and quarterly health and wellness support.
  • Daily office lunch, dinner when working late, and pet care support.
  • Regular team off-sites and company events.

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