Sr AI/ML Engineer, Applied AI

Lead end-to-end AI/ML lifecycle activities including ideation, research, data engineering, model development, evaluation, deployment, and scaling in life sciences and healthcare domains.

Architect, build, and deploy advanced AI solutions such as LLM-powered services, Retrieval-Augmented Generation (RAG), agentic workflows, and Generative AI integrations using tools like LangChain and LangGraph.

Mentor engineers, influence AI/ML platform strategy, implement evaluation frameworks, and ensure production-grade, scalable AI solutions impacting scientific workflows and customer outcomes.

Bachelor's degree in AI/ML, computer science, statistics, engineering, or related technical field; Master's preferred.

6+ years industry experience in software engineering and deploying AI/ML production systems; 4+ years agile/scrum experience.

Hands-on expertise in AI techniques including deep learning, RAG, agentic AI, Python, PyTorch, C++, C#, LangChain, LangGraph, and backend engineering best practices.

Strong data engineering skills and experience with deployment infrastructure and production integration; work schedule: Mon-Fri office role.

Experienced technical individual contributor with proven leadership in architecting and delivering production AI/ML systems at scale in regulated science domains like life sciences, genomics, or healthcare.

Proficient in deploying LLM and Generative AI solutions integrating complex workflows and evaluation-driven iterative improvements.

Collaborates effectively with cross-functional teams including data scientists, product managers, and engineers, capable of influencing AI adoption and standards across an organization.