Agentic AI Engineer
RemoteUnited Kingdom
Job Summary
Design, build, and operationalize agentic AI capabilities to automate imaging trial workflows, data validation, metadata reconciliation, protocol-driven checks, QA support, and structured extraction from multi-modal artifacts (DICOM, non-DICOM, reports, PDFs). Define agent-ready task models (inputs, outputs, constraints, guardrails, acceptance criteria), promote reliability and safety patterns, and implement retrieval-augmented generation with traceability. Collaborate across Product, Imaging Ops, Data Engineering, QA, Security, and Regulatory/Quality; drive production-quality code, observability, and documented standards; prototype and harden new capabilities; ensure compliant, auditable production operations and stakeholder alignment.
Required Qualifications
- Solid professional software engineering experience, including shipping production systems
- Experience implementing LLM-based systems (agentic workflows, tool calling, structured outputs)
- Practical experience with evaluation of LLM/agent quality (offline tests + production telemetry)
- Experience working in cross-functional environments with product and operational teams
- Familiarity with MLOps / DevOps: CI/CD, monitoring, logging, secure deployment practices
- Exposure to medical imaging concepts (DICOM, metadata, modality basics) and/or clinical trial workflows, preferred
- Master’s degree in Computer Science, Engineering, Data Science, or related field or equivalent practical experience
- Master’s degree or relevant AI/ML specialization is a plus
- Strong communication skills; ability to explain technical trade-offs to non-technical stakeholders
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