7 дней назад
AI/ML Engineer (Agentic Systems)
162 900 - 271 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 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
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 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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