C8 Health- Senior AI Engineer
Posted Jun 1 · 0 applicants
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The role in plain words
- 7+ years of hands-on experience with AI/ML frameworks and deploying ML systems in production
- 5+ years experience with modern backend programming (Python/Javascript is preferred)
- Demonstrated success in scaling AI/ML systems from initial launch to high user adoption and traffic
- Proven track record designing and operating production-grade AI/ML systems at scale
- Hands-on experience with GenAI tools including LLM orchestration frameworks, RAG pipelines, and agent-based architectures
- Bachelor’s or Master’s degree in Computer Science or a related field with an AI/ML focus
- Experience building document-intelligence systems for knowledge extraction, synthesis, or question answering
- Experience in a startup environment
- Experience with GCP and MongoDB
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Who this suits
Full job description
Original listing · kept for referenceAbout 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. What You’ll Do 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. Key responsibilities: ● Lead the vision and direction of our AI related domains ● Help lead the evolution of our retrieval-augmented generation (RAG) architecture, improving accuracy and recall ● Design and implement agentic AI systems using frameworks like LangChain, LlamaIndex, or similar, for document understanding and multi-step reasoning ● Optimize embedding, vector search, reranking, and hybrid retrieval pipelines ● Lead development of LLM prompt strategies, chaining logic, and tool-using agents for dynamic workflows ● Design, test, and monitor our system performance and accuracy metrics ● Be a source of knowledge for the latest GenAI research and apply cutting-edge techniques to production use cases ● Partner with product and domain experts to ensure accurate and trustworthy AI outputs that can be used by clinicians at the point of care
Requirements: What You Bring Required Qualifications: ● 7+ years of hands-on experience with AI/ML frameworks and deploying ML systems inproduction ● 5+ years experience with modern backend programming (Python/Javascript is preferred) ● Demonstrated success in scaling AI/ML systems from initial launch to high useradoption and traffic ● Proven track record designing and operating production-grade AI/ML systems at scale ● Hands-on experience with GenAI tools including LLM orchestration frameworks, RAG pipelines, and agent-based architectures ● Strong understanding of embedding strategies, vector search, retrieval optimization, and prompt engineering Advantages: ● 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 Why Join C8 Health ● Build with purpose: Help clinicians and patients by building trusted tools for high-stakes decisions ● Shape the future: Contribute to the long-term AI roadmap ● Startup energy: Fast-moving and high impact ● Competitive salary & equity package
Questions about this role
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- Hybrid
- 7+ years of hands-on experience with AI/ML frameworks and deploying ML systems in production, 5+ years experience with modern backend programming (Python/Javascript is preferred), Demonstrated success in scaling AI/ML systems from initial launch to high user adoption and traffic, Proven track record designing and operating production-grade AI/ML systems at scale, Hands-on experience with GenAI tools including LLM orchestration frameworks, RAG pipelines, and agent-based architectures