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Engineering Manager | GenAI| LLM | MLops

8-10 Years
  • Posted 4 hours ago
  • Be among the first 10 applicants

Job Description

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)

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About Company

Job ID: 151680633