Engineering Leader: Healthcare AI (People Management + Technical Architecture)
...
about company Join a global technology powerhouse scaling its specialized Healthcare AI division. We build mission-critical digital cloud platforms and intelligent systems that transform complex clinical workflows—directly improving how care is delivered worldwide.
about job
Inspire, mentor, and grow a elite engineering team building production-ready, high-impact AI solutions.
Drive end-to-end design and deployment for enterprise-grade generative AI and advanced LLM applications.
Direct the creation of sophisticated multi-agent workflows, tool integrations, and next-gen orchestration platforms.
Establish world-class AI engineering standards across model evaluation, continuous testing, CI/CD, and inference optimization.
Partner closely with Research and Product leaders to turn cutting-edge AI breakthroughs into commercial products.
Continuously evaluate and adopt emerging AI frameworks to push the boundaries of product quality and team output.
Skills and Requirements
Minimally 8 years in Software/AI engineering or ML, with at least 3 years successfully leading technical engineering teams.
Hands-on experience delivering production-grade AI/LLM applications at scale.
Deep mastery of Python, PyTorch, and the Hugging Face ecosystem.
Expertise in fine-tuning, prompt engineering/tool calling, RAG architectures, and multi-agent systems.
If possible, strong background in cloud-native engineering (Docker, Kubernetes, GCP, or Azure) and inference optimization.
Exposure to 5 years focused 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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Engineering Leader: Healthcare AI (People Management + Technical Architecture)
about company Join a global technology powerhouse scaling its specialized Healthcare AI division. We build mission-critical digital cloud platforms and intelligent systems that transform complex clinical workflows—directly improving how care is delivered worldwide.
about job
Inspire, mentor, and grow a elite engineering team building production-ready, high-impact AI solutions.
Drive end-to-end design and deployment for enterprise-grade generative AI and advanced LLM applications.
Direct the creation of sophisticated multi-agent workflows, tool integrations, and next-gen orchestration platforms.
Establish world-class AI engineering standards across model evaluation, continuous testing, CI/CD, and inference optimization.
Partner closely with Research and Product leaders to turn cutting-edge AI breakthroughs into commercial products.
Continuously evaluate and adopt emerging AI frameworks to push the boundaries of product quality and team output.
Skills and Requirements
Minimally 8 years in Software/AI engineering or ML, with at least 3 years successfully leading technical engineering teams.
Hands-on experience delivering production-grade AI/LLM applications at scale.
Deep mastery of Python, PyTorch, and the Hugging Face ecosystem.
Expertise in fine-tuning, prompt engineering/tool calling, RAG architectures, and multi-agent systems.
If possible, strong background in cloud-native engineering (Docker, Kubernetes, GCP, or Azure) and inference optimization.
Exposure to 5 years focused 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)
skills
no additional skills required
qualifications
no additional qualifications required
education
Bachelor Degree
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