Agentic AI Sr. Engineer

Role: Software engineer specializing in agentic AI systems and large language models (LLMs) to support biopharma scientific workflows. Responsibilities: design, develop, and deploy AI-powered tools and digital pipelines that integrate with internal data, models, and lab platforms; collaborate closely with scientists, platform engineers, and cross-functional teams; ensure tools meet safety, quality, and compliance standards; document work for maintainability and reuse. Requirements: MS in Computer Science, Software Engineering, or related field; 3–10 years of software development experience with proven hands-on builds of agentic AI systems; strong Python and/or TypeScript skills; practical experience with LLMs, agent frameworks, retrieval-augmented generation, and cloud deployment (AWS, Kubernetes). Preferred skills include experience with enterprise data integrations, AI frameworks like LangChain, vector databases, and laboratory automation knowledge. High-Value: focus on AI applications for scientific research, deploying in regulated environments, working with high-throughput lab data, and contributing to reusable engineering components. Work setup: hybrid in Cambridge, MA or Gaithersburg, MD, with access to advanced AI infrastructure and cloud platforms.