Engineering Manager | GenAI| LLM | MLops
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Leadership role! Healthcare with AI, People Management + technical expertise
about company
I am currently working with a leading global technology group expanding its specialized healthcare AI division. They build advanced digital cloud platforms and intelligent systems to streamline and optimize complex clinical workflows.
about job
Team Leadership: Scale, mentor, and guide a high-performing engineering team building production-ready AI solutions.
System Architecture: Drive the design and end-to-end deployment of enterprise-scale generative AI and LLM applications.
Agentic Frameworks: Direct the development of sophisticated multi-agent workflows, tool integrations, and orchestration systems.
MLOps & Quality: Establish robust AI engineering practices covering model evaluation, continuous testing, CI/CD, and deployment optimization.
Cross-Functional Strategy: Partner with research and product teams to translate cutting-edge AI models into commercial products.
Emerging Tech: Evaluate and adopt new AI frameworks to continually boost product quality and team productivity.
Skills and Requirements
Experience: Minimum 8+ years in software, ML, or AI engineering, including 3+ years managing technical engineering teams.
Track Record: Proven success delivering production-grade AI and LLM applications.
Core Tech Stack: Hands-on mastery of Python, PyTorch, and the Hugging Face ecosystem.
Generative AI & Agents: Deep expertise in fine-tuning, prompt engineering/tool calling, RAG architectures, and agentic AI orchestration.
Cloud & Infrastructure: Proficiency with cloud-native engineering (Docker, Kubernetes, GCP, or Azure) and inference optimization.
Strong Plus: 5+ years dedicated experience with LLMs, Python, and Google Cloud Platform (GCP).
To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)