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About the Role

As an 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.

Responsibilities

• Build prototypes and proofs of concept and ship agentic AI solutions to production standard within a defined technical approach.
• Implement and test tool use, retrieval pipelines, and agent workflows.
• Contribute to evaluation, observability and guardrails for agentic systems.
• Integrate AI capabilities into existing enterprise workflows and systems.
• Maintain high code quality and documentation so patterns can be reused.
• Flag technical risks and blockers early.
• Interface with technical peers to finalise requirements and complete moderately complex bug fixes.
• Build solutions for reuse, contributing to patterns, reference implementations, and starter kits so work done in one function can be picked up by another.
• Instrument solutions to capture outcome data against baselines.
• Work alongside host-function stakeholders to ensure the build fits real workflows, not assumed ones.
• Support handover and capability-building in the host function so the solution is owned and operable after the squad moves on.
• Keep abreast of new technology developments.
• Take on related responsibilities as the squad's needs evolve.

Requirements

• 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents or agentic workflows).
• BS in Engineering, Computer Science, or equivalent.
• 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.
• Familiarity with prompt engineering, context management, evaluation and observability.
• Understand how agents use memory, tools, and retrieval to complete multi-step tasks.
• Integrating AI into existing systems via APIs and data pipelines.
• Experience with AWS, Azure, or GCP.
• Experience with CI/CD, modern SDLC, TDD, and code review.
• Experience working with relational, columnar and vector stores, grounded in sound data-modelling principles.
• Clear written and verbal communication with technical peers and stakeholders.
• Instrumenting solutions to capture usage, productivity, and quality metrics against established baselines.

Skills

• LLM-powered applications
• RAG
• Tool-augmented agents
• Agentic workflows
• Agent fundamentals
• Enterprise integration
• Cloud (AWS, Azure, or GCP)
• Delivery (CI/CD, modern SDLC, TDD, code review)
• Data (relational, columnar, vector stores)
• Python
• Java
• TypeScript/JavaScript
• SQL
• AI SDKs
• Communication
• Measurement

Location

• Remote

Work Type

• Full-time

Experience Level

• 3+ years

Education Level

• BS in Engineering, Computer Science, or equivalent

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)
• Wellbeing initiatives
• Shared parental leave
• Study assistance
• Sabbaticals
• Flexible working hours

About the Company

• A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
• Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice.
• At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future.
• We harness innovative technologies to support science and healthcare to partner for a better world.
• RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
• Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
• Our purpose guides our actions beyond the products that we develop. It defines us as a company.
• Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Equal Opportunity

• We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
• We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.