Senior Agentic AI Engineer
Elsevier · Banglore ·
- Work mode
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Category
- AI engineering
- Experience
- 9+ years
Elsevier · Banglore ·
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:
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.
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:
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.
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