This job is with Elsevier, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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 creative 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 wellbein

📌 Senior Agentic AI Engineer (India)
🏢 Elsevier
📍 India