Senior Agentic AI Engineer

Build and deploy Document Intelligence services using event-driven architectures, microservices, and AI/LLM to process and transform unstructured scientific manuscripts into structured, meaningful data.

Collaborate with business stakeholders and cross-functional Agile/DevOps teams to deliver enhancements that automate submission and editorial processes and enable AI-driven features.

Contribute to architectural decisions ensuring stability, performance, and scalability in a cloud-hosted distributed system environment on AWS.

Proficiency in Java, Python, and Spring Boot with willingness to learn additional technologies.

Experience with version control systems such as Git and modern IDEs (IntelliJ or VS Code).

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

Work Experience Required: Not explicitly mentioned in the JD; must be located within commutable distance to Bangalore office for hybrid work.

Has experience working at the intersection of software engineering, data engineering, and AI, preferably with document transformation and metadata extraction.

Familiar with Agile methodologies like Scrum or Kanban and comfortable contributing to process improvements and architectural decisions.

Demonstrates readiness to grow skills in agentic AI development and distributed/event-driven systems using Kafka and AWS cloud services.