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

This hybrid role is open to candidates based within a commutable distance of our Bangalore office. 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.

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.

Designing, developing and deploying applications in a cloud-hosted distributed system to build our next-generation product





Providing input into architectural decisions to ensure stability and performance

Partnering with cross-functional Agile and DevOps implementation teams

Java, Python, Spring Boot, with a willingness to learn the others.

Display some experience with version control system (i.e. Have experience with a modern IDE (IntelliJ / VS Code) and proficiency in using refactoring tools

Have some experience with test-driven development and mocking libraries (Jest, Mockito)

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

We promote a healthy work/life balance across the organization. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.

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

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)

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.

📌 Senior AI Programmer (Hybrid) (India)
🏢 Elsevier
📍 India