Senior Agentic AI Engineer

Build and deploy cloud-hosted distributed applications for Document Intelligence to transform unstructured scientific manuscripts into structured data.

Develop metadata extraction, content enrichment, and entity recognition capabilities to enhance Submission and Editorial products.

Collaborate with stakeholders and cross-functional Agile/DevOps teams to ensure stable, scalable, and high-performance AI and microservices solutions using Java, Python, AWS, and event-driven architectures.

Proficiency in Java, Python, and Spring Boot; familiarity with Git and modern IDEs (IntelliJ or VS Code).

Experience with test-driven development and mocking libraries (e.g., Jest, Mockito).

Understanding of Agile practices (Scrum, Kanban) and collaborative tools like Jira and Confluence.

Work Experience Required: Not explicitly mentioned in the JD; Role requires hybrid work based within commutable distance of Bangalore office.

Experienced in software engineering at the intersection of AI, data engineering, and cloud-based distributed systems.

Comfortable working in fast-moving Agile environments with stakeholder collaboration and contributing to architectural decisions.

Motivated to grow skills in Agentic software development, distributed/event-driven solutions using Kafka and AWS cloud services.