Engineering Manager Generative AI LLM MLOps

About Company

I am currently partnering with an established global technology multinational expanding its specialized healthcare AI division. They focus on building next-generation digital cloud platforms and intelligent automation systems to optimize complex clinical workflows.

About Job

• Engineering Leadership: Scale, mentor, and guide a top-tier engineering team building production-ready AI solutions.

• Architecture & Delivery: Drive the end-to-end design, construction, and deployment of enterprise-scale LLM applications and Generative AI systems.

• Agentic Workflows: Lead the creation of advanced multi-agent systems, covering orchestration, tool integrations, memory, and continuous execution.

• MLOps & Quality: Establish robust AI engineering practices spanning model benchmarking, continuous testing, CI/CD pipelines, and inference optimization.

• Cross-Functional Synergy: Partner closely with research scientists and product owners to translate complex prototypes into commercial software products.

• Emerging Tech Adoption: Continuously evaluate, test, and integrate cutting-edge AI frameworks to elevate system performance and engineering productivity.

Skills and Requirements

• Proven Experience: 8+ years in software, ML, or AI engineering, including 3+ years in direct technical leadership delivering production-grade AI systems.

• Generative AI Mastery: Practical hands-on expertise with LLM application design, fine-tuning, domain adaptation, and structured prompt engineering/tool calling.

• Retrieval & Agents: Demonstrated background building RAG architectures, knowledge retrieval systems, and agentic AI orchestration frameworks.

• Core Tech Stack: Advanced proficiency with Python, PyTorch, and the Hugging Face ecosystem.

• Cloud & Infrastructure: Hands-on experience with cloud-native deployment using Docker, Kubernetes, and major platforms like GCP or Azure.

• Strong Advantage: 5+ years of dedicated, deep-dive experience specifically focused on Python, LLMs, and Google Cloud Platform (GCP)
  

  
  To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)