Senior Agentic AI Engineer

🕒 June 24

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Perceptive Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Perceptive Inc. is a leading provider of scientific and data-driven solutions for the bio-pharmaceutical industry, focusing on oncology, central nervous system (CNS) therapeutic areas, and musculoskeletal imaging. With expertise in drug discovery, preclinical and early clinical imaging, and radiochemistry, Perceptive offers services that identify promising candidate compounds and mitigate risks through premier imaging services. It also provides comprehensive eClinical solutions, including Randomization and Trial Supply Management (RTSM), aimed at optimizing clinical trial processes. Trusted for its high-quality data, Perceptive serves as a partner in advancing clinical trials and bringing essential treatments to patients faster, backed by over 50 years of experience and a team of dedicated experts. Perceptive's global presence ensures seamless delivery of Discovery, eClinical, and Imaging services to support worldwide clinical trials.

📋 Description

• Own the design, implementation, and operationalization of complex agentic AI systems that drive automation, scalability, and data quality across medical imaging clinical trials. • Lead the delivery of multi-step, production-grade agentic workflows supporting imaging intake, quality control, protocol compliance, data validation, and structured decision support. • Provide technical leadership, mentoring engineers, and shaping best practices for agent reliability and evaluation. • Ensure AI systems meet quality, safety, and regulatory expectations. • Lead discovery and design discussions with Product, Imaging Operations, Clinical Ops, QA, Security, and Regulatory teams. • Drive alignment between business objectives, product strategy, and technical implementation. • Act as a technical point of contact for stakeholders on agentic AI capabilities and limitations. • Lead technical design reviews for agentic AI features and platform components. • Mentor and coach mid-level engineers on agent design, evaluation strategies, failure analysis, and production readiness. • Define team-level best practices for prompt engineering, retrieval grounding, evaluation metrics, and observability. • Develop evaluation frameworks to measure task success, grounding quality, hallucination risk, and regression across agent versions. • Build scalable backend services, APIs, and orchestration layers supporting agent execution in production. • Own production deployments of agentic systems, including CI/CD pipelines, environment promotion, and rollback strategies. • Define observability standards: tracing agent reasoning, tool calls, retrieval events, errors, and cost telemetry. • Ensure systems meet security, privacy, and compliance requirements.

🎯 Requirements

• Solid professional software engineering experience. • Experience working in cross-functional environments with product and operational teams. • 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. • Experience developing software in regulated or quality-sensitive environments, with attention to validation, auditability, and traceability, preferred. • Demonstrated ownership of complex systems from design through production. • Proven ability to lead technical initiatives and mentor engineers. • Strong experience operationalizing AI systems at scale. • 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. • English: Fluent.

🏖️ Benefits

• 25 days’ holiday (with the option to buy more) • Health Cash Plan • Optional private health, dental insurance, and health screens • Cycle to work scheme • Generous pension scheme with up to 10% employer contribution • Life assurance • Season ticket loan