Senior Agentic AI Engineer

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Perceptive Inc.

Site WebLinkedInTous les Emplois

1001 - 5000 employés

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

Perceptive Inc. est un fournisseur de premier plan de solutions scientifiques et basées sur les données pour l'industrie bio-pharmaceutique, se concentrant sur les domaines thérapeutiques de l'oncologie, du système nerveux central (SNC) et de l'imagerie musculo-squelettique. Grâce à son expertise en découverte de médicaments, en imagerie préclinique et clinique précoce, et en radiochimie, Perceptive propose des services qui identifient les candidats prometteurs et atténuent les risques grâce à ses services d'imagerie de premier ordre. Elle offre également des solutions eClinical complètes, y compris la gestion de la randomisation et de l'approvisionnement des essais (RTSM), visant à optimiser les processus des essais cliniques. Reconnue pour la haute qualité de ses données, Perceptive se positionne comme un partenaire pour faire avancer les essais cliniques et apporter plus rapidement des traitements essentiels aux patients, soutenue par plus de 50 ans d'expérience et une équipe d'experts dévoués. La présence mondiale de Perceptive assure une prestation fluide des services de découverte, eClinical et d'imagerie pour soutenir les essais cliniques à l'échelle mondiale.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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