Engineering Manager | Generative AI | LLM | MLOps
Summary
Lead a team building production-ready generative AI and LLM systems for healthcare workflows, including agentic workflows, MLOps, and cloud-native deployment.
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)