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Senior Software Engineer/ Senior AI Engineer

RELX (ElsevierJobs)
GBR
Onsite
Discovered 4 weeks ago
Agentic AILarge language modelsRAG pipelinesTool-augmented agentsAgent workflowsPrompt engineering
Free

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Agentic AILarge language modelsRAG pipelines
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About the role

Join an embedded Innovation Squad that turns internal AI experimentation into validated, reusable solutions.

Perform research, design, and software development assignments within the squad's product area.

Translate stakeholder and end-user requests into workable solutions that fit real workflows.

Key responsibilities

  • Build prototypes and proofs of concept and ship agentic AI solutions to production standard.
  • Implement and test tool use, retrieval pipelines, and agent workflows.
  • Develop evaluation, observability, guardrails, logging, instrumentation, and alerting for agentic systems.
  • Integrate AI capabilities into enterprise workflows and systems.
  • Translate product requirements into software designs and write or review detailed specifications.
  • Apply CI/CD, coding best practices, code reviews, and documentation standards.
  • Create reusable patterns, reference implementations, and starter kits for other functions.
  • Pair-program, support handover, and mentor less senior engineers.

Requirements

  • 4+ years of software engineering experience, ideally with AI-enabled or data-intensive systems.
  • BS in Engineering, Computer Science, or equivalent.
  • Experience with RAG pipelines, tool-augmented agents, agentic workflows, prompt engineering, context management, evaluation, and observability.
  • Ability to design across multiple components and integrate AI through APIs and data pipelines.
  • Experience with AWS, Azure, or GCP; CI/CD; modern SDLC; TDD; and code review.
  • Experience with relational, columnar, and vector stores and sound data-modeling principles.
  • Proficiency in Python, Java, TypeScript/JavaScript, SQL, and relevant AI SDKs.
  • Clear communication, autonomous working, measurement discipline, and developing mentoring skills.

About the business

Elsevier combines information, data, and analytics to support science, research, health education, learning, and clinical practice.

The company describes a culture of innovation, collaboration, wellbeing, and professional development.

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