Engineering Manager – AI Engineering & LLM Systems

AICS builds Healthcare AI solutions that improve clinical workflows through large language models, agentic AI, and modern AI engineering. We are looking for an Engineering Manager to lead a team of Machine Learning Engineers building production-ready LLM applications, AI infrastructure, and clinical AI systems. Responsibilities • Lead and grow a high-performing Machine Learning Engineering team. • Drive the design, development, and deployment of production LLM applications and AI systems. • Build scalable AI engineering workflows covering model evaluation, experimentation, deployment, and continuous improvement. • Lead the development of agentic AI capabilities, including multi-agent workflows, tool integration, memory, and orchestration. • Establish engineering best practices for AI development, software quality, testing, and MLOps. • Work closely with AI Research, Product, and Software Engineering teams to translate research into production products. • Continuously evaluate emerging AI technologies and adopt new techniques that improve product quality and engineering productivity. Qualifications Required Experience • 8+ years of software engineering, machine learning engineering, or AI engineering experience. • 3+ years leading technical engineering teams. • Proven experience delivering AI products into production. Technical Expertise Candidates should have practical, hands-on experience with most of the following: • Large Language Models (LLMs) and Generative AI application development • Model fine-tuning or adaptation for domain-specific use cases • LLM evaluation and benchmarking • RAG and knowledge retrieval systems • Agentic AI frameworks and workflow orchestration • Prompt engineering and structured tool calling • PyTorch and Hugging Face ecosystem • AI deployment, inference optimization, and MLOps • Cloud-native engineering (Docker, Kubernetes, Azure or GCP)