Engineering Manager – AI Engineering & LLM Systems

About the role

We are seeking an Engineering Manager to lead a team of Machine Learning Engineers building production‑ready LLM applications, AI infrastructure, and clinical AI systems.

Key responsibilities

• Lead and grow a high‑performing Machine Learning Engineering team.
• Design, develop, and deploy production LLM applications and AI systems.
• Build scalable AI engineering workflows covering model evaluation, experimentation, deployment, and continuous improvement.
• Develop agentic AI capabilities, including multi‑agent workflows, tool integration, memory, and orchestration.
• Establish engineering best practices for AI development, software quality, testing, and MLOps.
• Collaborate with AI Research, Product, and Software Engineering teams to translate research into production products.
• Continuously evaluate emerging AI technologies and adopt new techniques to improve product quality and engineering productivity.

Required profile

• 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.

Required skills

• Large Language Models (LLMs) and Generative AI application development.
• Model fine‑tuning or adaptation for domain‑specific use cases.
• LLM evaluation and benchmarking.
• Retrieval‑augmented generation (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).