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.

Key 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.

Requirements:

• 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)