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RELX

Senior Agentic AI Engineer

RELX is hiring a Senior Agentic AI Engineer. Level rates it ; you can apply on Level.

AI in this role

Design and build cloud-hosted document intelligence services using LLMs, data science, and microservices for automated content processing.

claudecopilotcodexawsllmpython
software-engineeringdata-engineeringmachine-learningmicroservicesdistributed-systems

Senior Agentic AI Engineer


Would you like to help create products to support the sharing of scientific knowledge?


Do you enjoy collaborating to solve complex technical problems?


This hybrid role is open to candidates based within a commutable distance of our Bangalore office. We value meaningful in-person moments to connect, collaborate, plan and for other key moments.

 

About our Team:

The Submission and Editorial platform is at the heart of Elsevier's publishing ecosystem, supporting millions of interactions between researchers, editors, reviewers, and publishers every year.

Our team provides the Document Intelligence capabilities that underpin the Submission product portfolio. Using combination data science models and LLMs, we transform complex, unstructured documents into structured, trusted and reusable data, enabling our products and teams to understand submitted content and use that intelligence to create smarter experiences throughout the Submission and Editorial journey.

 

About the Role: 

As a Senior Agentic AI Engineer Engineer on our team, you'll help build the Document Intelligence capabilities that enable Elsevier's Submission products to understand scientific content at scale. You'll work on services that transform complex, unstructured manuscripts into structured, meaningful information and knowledge through document transformation, metadata extraction, content enrichment, and entity recognition.

You'll help turn this intelligence into capabilities that power smarter submission and editorial experiences, from automating traditionally manual processes to enabling content discovery and new AI-driven features across the Submission portfolio.

We combine AWS, event-driven architectures, microservices, data science and AI/LLM capabilities to build reliable, secure, and highly scalable Document Intelligence services. You'll work at the intersection of software engineering, data engineering and AI, solving challenging problems around understanding and processing millions of research documents within Elsevier's publishing ecosystem.

 

Responsibilities: 

  • Designing, developing and deploying applications in a cloud-hosted distributed system to build our next-generation product
  • Collaborating with business stakeholders to identify requirements and gather feedback in a fast-moving environment
  • Providing input into architectural decisions to ensure stability and performance
  • Identifying and implementing enhancements to continually improve our delivery process
  • Partnering with cross-functional Agile and DevOps implementation teams

 

Requirements:  

To be successful in this role, you will demonstrate proficiency in some of our requirements, with a willingness to learn new ones as needed.

  • Demonstrate some proficiency in most of these technologies; Java, Python, Spring Boot, with a willingness to learn the others.
  • Display some experience with version control system (i.e. Git) 
  • Enjoy collaborating with team members to create innovative solutions
  • Have experience with a modern IDE (IntelliJ / VS Code) and proficiency in using refactoring tools
  • Be open to discussing and honing approaches for our team to improve our working practices
  • Have some experience with test-driven development and mocking libraries (Jest, Mockito)
  • Be familiar with collaborative documentation tools (Jira and Confluence)
  • Have some real knowledge of Agile practices and execution (Scrum, Kanban)
  • Some familiarity with AI coding tools (GitHub Copilot, Claude, Codex, Antigravity) is desirable.
  • Wanting to learn about Agentic software development
  • Wanting to learn about distributed and event-driven solutions using Kafka and AWS cloud services
  • Be eager to grow your skills and experience 

 

Work in a way that works for you: -

We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.

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

 

Working for you: -

At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Group Health Insurance Policy (covering self and family)
  • Group Life insurance/accident policy
  • Generous long-service awards
  • New Baby gift
  • Subsidized food provided (applies to India- Chennai)
  • Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
  • Free Transport provided to and from the office (applies to India-Chennai)

 

About Us: -

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 .

 

 

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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.

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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.

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How we rate this

Senior Agentic AI Engineer at RELX rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Software EngineeringData EngineeringMachine learningMicroservicesDistributed SystemsClaudeCopilotCodex

Questions you could be asked

  1. Tell me about a project where software engineering was part of your work. What did you do?
  2. Tell me about a project where data engineering was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where microservices was part of your work. What did you do?
  5. Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Software Engineering, Data Engineering, Machine learning, Microservices, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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