3 дня назад
Lead AI Engineer (Biotech)
109 900 - 179 300$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead AI Engineer (Python/LLM): Building enterprise-scale AI applications, intelligent agents, LLM-powered systems, and AI platform services for drug discovery, clinical research, and enterprise productivity with an accent on agentic frameworks, RAG pipelines, vector databases, and secure model orchestration. Focus on leading engineers, designing production-grade AI architectures, operating LLM gateway infrastructure, and integrating AI capabilities with enterprise data and applications.
Location: Sleepy Hollow, New York, United States; onsite expectations apply to many roles.
Salary: $109,900–$179,300 annually
Company
is a biotechnology company developing and commercializing medicines for serious diseases through research-driven innovation.
What you will do
- Lead the design, development, and deployment of production-grade enterprise AI applications and LLM-powered systems.
- Build intelligent agents and autonomous systems with LangChain, LangGraph, Strands, CrewAI, MCP servers, tool use, planning, and memory patterns.
- Develop RAG and semantic search solutions using vector databases, with Milvus preferred.
- Administer the enterprise LLM gateway, including model routing, access controls, observability, rate limiting, and multi-model orchestration.
- Lead, mentor, and manage AI engineers while setting technical standards and conducting code reviews.
- Partner with business units, data scientists, clinical research teams, vendors, and senior leadership to deliver AI strategy and solutions.
Requirements
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, Artificial Intelligence, or a related technical field.
- 7–10 years of progressive software and AI engineering experience, including at least 3 years as a technical lead or senior individual contributor.
- Expert-level Python development and production REST API experience with FastAPI.
- Hands-on experience with AI agents, MCP servers, LLM applications, RAG, vector databases, and LLM gateway platforms.
- Experience with AWS AI services and infrastructure, including SageMaker, Bedrock, EKS, Lambda, and S3; Kubernetes, Docker, Terraform, and CI/CD experience are relevant.
- Required certification: AWS Certified Machine Learning Specialty.
Nice to have
- Experience in biotechnology, pharmaceuticals, or healthcare.
- AWS Certified Solutions Architect Professional.
- Certified Kubernetes Administrator (CKA).
Culture & Benefits
- Work in a regulated biotechnology environment focused on advancing healthcare.
- Potential benefits include annual bonuses, equity awards, retirement benefits, 401(k) matching, insurance, paid time off, and family support benefits.
- Reasonable accommodations are provided during recruitment where required by law.
- Background checks may verify identity, right to work, and educational qualifications.
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