Senior Agentic AI Engineer
RemoteUnited Kingdom
Job Summary
Senior Agentic AI Engineer responsible for designing, implementing, and operating complex agentic AI workflows that enhance automation, scalability, and data quality across medical imaging clinical trials. Lead end-to-end development of multi-step, production-grade agentic processes for imaging intake, quality control, protocol compliance, data validation, and structured decision support. Provide technical leadership, mentorship, and best practices for agent reliability, evaluation, prompt engineering, grounding, observability, and regulatory compliance within the AI-driven Product Development Life Cycle (PDLC) from discovery to production. Collaborate across Product, Imaging Operations, Clinical Ops, QA, Security, and Regulatory teams; drive architecture decisions; deliver reference implementations and shared libraries; and ensure security, privacy, and auditability in regulated environments.
Required Qualifications
- Master’s degree in Computer Science, Engineering, Data Science, or related field or equivalent practical experience
- Deep practical experience with retrieval-augmented generation (RAG) patterns, including chunking strategies, embedding management, retrieval quality evaluation, and traceability
- Experience building scalable backend services, APIs, and pipelines supporting AI-driven workflows
- Experience working with or strong understanding of medical imaging workflows (e.g., DICOM metadata, modality concepts, imaging QC processes) preferred
- Proven ability to lead technical initiatives and mentor engineers
- Strong experience operationalizing AI systems at scale
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