[Hiring] Senior Software Engineer / Senior AI Engineer @Elsevier

Role Description

As a Senior AI Engineer, you will build and ship AI-powered features as part of a cross-functional Innovation Squad, working inside a business function. You will deliver the set technical direction to production standard, working autonomously within a defined problem, building and testing tool use, retrieval pipelines, and agent workflows, integrating AI capabilities into enterprise systems, and contributing to evaluation, observability, and guardrails.

You will hold a high bar on code quality, flag risks and blockers early, and work alongside host-function stakeholders to make sure what you build fits real workflows, not assumed ones. You'll also support handover and capability-building so the solution is owned and operable after the squad moves on.

Key Responsibilities

• Building prototypes and proofs of concept and ship agentic AI solutions to production standards within a defined technical approach.
• Implementing and testing tool use, retrieval pipelines, and agent workflows.
• Contributing to evaluation, observability, and guardrails for agentic systems.
• Integrating AI capabilities into existing enterprise workflows and systems.
• Maintaining high code quality and documentation so patterns can be reused.
• Flagging technical risks and blockers early.
• Interface with technical peers to finalize requirements and complete moderately complex bug fixes.
• Building solutions for reuse, contributing to patterns, reference implementations and starter kits so work done in one function can be picked up by another.
• Implementing solutions to capture outcome data against baselines.
• Work alongside host-function stakeholders to ensure the build fits real workflows, not assumed ones.
• Supporting handover and capability-building in the host function so the solution is owned and operable after the squad moves on.

Qualifications

• 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows).
• Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time-boxed cycles where validated outcomes matter more than perfect solutions.
• Building RAG pipelines, tool-augmented agents, and agentic workflows; familiar with prompt engineering, context management, evaluation, and observability.
• Understands how agents use memory, tools, and retrieval to complete multi-step tasks.
• Integrating AI into existing systems via APIs and data pipelines.
• AWS, Azure or GCP experience.
• CI/CD, modern SDLC, TDD and code review experience.
• Working with relational, columnar and vector stores, grounded in sound data-modelling principles.
• Proficiency in Python, Java, TypeScript/JavaScript, SQL and relevant AI SDKs.
• Clear written and verbal communication with technical peers and stakeholders.
• Instrumenting solutions to capture usage, productivity and quality metrics against established baselines.

Benefits

• Comprehensive Pension Plan
• Generous vacation entitlement and option for sabbatical leave
• Maternity, Paternity, Adoption and Family Care leave
• Personal Choice budget
• Internal communities and networks
• Various employee discounts
• Recruitment introduction reward
• Employee Assistance Program (global)