Senior AI Engineer – Job DescriptionTel Aviv, Israel (Hybrid)About C8 Health

C8 Health is a fast-growing healthcare technology company transforming how hospitals manage and share knowledge. Our mission is to help hospitals implement their best practices effectively and provide consistent, high-quality care through intuitive, intelligent solutions that integrate seamlessly into clinical environments.

You’ll join our growing AI/ML domain as a technical leader and hands-on contributor, working alongside experienced engineers and product stakeholders. Your focus will be to drive forward our LLM-powered systems—enhancing retrieval, building intelligent agents, and delivering high-trust clinical capabilities.

This role blends strategic technical leadership with hands-on development, making it ideal for someone excited to both deliver features today and shape where we go tomorrow.

• Help lead the evolution of our retrieval-augmented generation (RAG) architecture, improving accuracy and recall
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• Design and implement agentic AI systems using frameworks like LangChain, LlamaIndex, or similar, for document understanding and multi-step reasoning
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• Optimize embedding, vector search, reranking, and hybrid retrieval pipelines
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• Lead development of LLM prompt strategies, chaining logic, and tool-using agents for dynamic workflows
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• Design, test, and monitor our system performance and accuracy metrics
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• Be a source of knowledge for the latest  GenAI research and apply cutting-edge techniques to production use cases
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• Partner with product and domain experts to ensure accurate and trustworthy AI outputs that can be used by clinicians at the point of care

• 6+ years experience with modern backend programming (Python/Javascript is an advantage)
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• 3+ years of hands-on experience with machine learning frameworks and deploying ML systems in production
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• Hands-on experience with GenAI tools including LLM orchestration frameworks, RAG pipelines, and agent-based architectures
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• Proven track record designing and operating production-grade AI/ML systems at scale
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• Strong understanding of embedding strategies, vector search, retrieval optimization, and prompt engineering

• Bachelor’s or Master’s degree in Computer Science or a related field with an AI/ML focus
• Prior experience in healthcare, biomedical NLP, or regulated, trust-sensitive domains
• Experience building document-intelligence systems for knowledge extraction, synthesis, or question answering
• Experience in a startup environment
• Experience with GCP and MongoDB

• Build with purpose: Help clinicians and patients by building trusted tools for high-stakes decisions
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• Shape the future: Contribute to the long-term AI roadmap
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• Startup energy: Fast-moving and high impact
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• Competitive salary & equity package