2 часа назад
Forward Deployed AI Engineer (AI)
200 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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