Senior Software Engineer I - AI Engineering

RELX Group
Charing Cross, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Java
API
Agile Methodologies
Artificial Intelligence
Cloud Engineering
Code Review
Continuous Integration
Distributed Systems
Graph Database
Python
Software Architecture
Software Engineering
Data Logging
Large Language Models
Backend
Containerization
AI Platforms
Kubernetes

Job description

We are seeking a Senior Software Engineer I with a passion for generative AI and platform architecture. In this role, you will implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and help evolve our engineering practices., * Design, develop, and maintain generative AI services and reusable components using mostly Python and a little bit of Java.

  • Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD.
  • Contribute to system designs spanning multiple services and modules, aligning with architectural best practices.
  • Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities.
  • Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.
  • Contribute to the resolution of complex technical challenges across distributed systems.
  • Mentor less-senior developers on engineering principles, GenAI patterns, and platform development.
  • Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability.
  • Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems.

Requirements

  • 5+ years of software engineering experience.
  • Solid understanding of software development methodologies and data modeling principles.
  • Deep expertise in Python and Java.
  • Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).
  • Strong experience with Kubernetes (EKS) and cloud-native architectures.
  • Proven track record building scalable backend systems and APIs.
  • Experience mentoring engineers and contributing to architectural decisions.
  • Ability to work collaboratively across functions in an Agile or Kanban environment.

Nice to Have

  • Experience operationalizing LLMs or building internal AI platforms.
  • Familiarity with observability practices (metrics, logging, alerts).
  • Exposure to knowledge graphs or semantic search systems.

Benefits & conditions

We promote a healthy work-life balance across the organization. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times you work in the day to help you fit everything in and work when you are the most productive.

About the company

Are you excited about shaping the future of generative AI in a global technology environment? Do you enjoy building scalable, production-ready AI services that deliver real-world impact? About the Team Our team builds LeapSpace, the research companion for the people working at the frontier of human knowledge: researchers, clinicians, and innovators advancing science, healthcare, and life sciences. We help them ask better questions, follow ideas across disciplines, and reach decisions they can stand behind. LeapSpace fits into the real workflow of a researcher. It reads with them, drafts with them, and remembers context across a project, so the heavy lifting of reviewing literature, comparing evidence, and structuring arguments becomes lighter and faster. Our team shapes every part of that experience, from the moment a user types a question to the moment they cite a result in their work. As part of this mission, the AI Engineering team is focused on building reusable generative AI capabilities that can be embedded across products and platforms. We create scalable, secure, and production-ready AI services - enabling downstream teams to integrate cutting-edge GenAI features with confidence., Elsevier is a global information analytics business that helps institutions and professionals advance healthcare, open science, and improve performance for the benefit of humanity., 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.

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