2 months ago
London, United KingdomSenior
Responsibilities
- Build prototypes, proofs of concept, and production-grade agentic AI solutions within a defined technical approach.
- Implement and test tool use, retrieval pipelines, and agent workflows.
- Contribute to evaluation, observability, guardrails, and outcome measurement for agentic systems.
- Integrate AI capabilities into existing enterprise workflows and systems through APIs and data pipelines.
- Maintain high-quality, reusable code and documentation, including patterns, reference implementations, and starter kits.
- Identify technical risks and blockers early, complete moderately complex bug fixes, and collaborate with technical peers to finalize requirements.
- Work with host-function stakeholders to ensure solutions fit real workflows and support handover and capability-building.
- Keep current with technology developments and adapt to evolving squad needs.
Requirements
- At least 3 years of software engineering experience with hands-on production experience building LLM-powered applications such as RAG, tool-augmented agents, or agentic workflows.
- Bachelor of Science degree in Engineering or Computer Science, or equivalent experience.
- Experience building RAG pipelines, tool-augmented agents, and agentic workflows, with familiarity in prompt engineering, context management, evaluation, and observability.
- Understanding of agent memory, tools, retrieval, and multi-step task completion.
- Experience integrating AI into existing systems through APIs and data pipelines.
- Experience with AWS, Azure, or GCP.
- Familiarity with modern software delivery practices, TDD, code review, and relevant AI SDKs.
- Experience working with relational, columnar, and vector stores and sound data-modeling principles.
- Proficiency in Python, Java, TypeScript or JavaScript, and SQL.
- Ability to instrument solutions and measure usage, productivity, and quality against established baselines.
- Clear written and verbal communication with technical peers and stakeholders, and comfort working autonomously in short, time-boxed delivery cycles.
Benefits
- Comprehensive pension plan.
- Generous vacation entitlement and the option for sabbatical leave.
- Maternity, paternity, adoption, and family care leave.
- Personal Choice budget, employee discounts, and recruitment introduction reward.
- Employee Assistance Program and various employee communities and networks.
- Shared parental leave, study assistance, wellbeing initiatives, and flexible working hours.
- Country-specific benefits are available, and the employer supports workplace accommodations for applicants with disabilities or other needs.
Categories
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.