Job Description :

Your responsibilities :

- Design and develop responsive, high-performance frontend interfaces for the Agent Hub developer portal using TypeScript and React, ensuring an intuitive self-service experience for AI-powered workflows.

- Build and maintain scalable Python/FastAPI backend services and REST APIs that power the Agent Hub and expose Agent Chain capabilities to internal developer audiences.

- Implement and evolve a cohesive design system and component library that ensures visual consistency, accessibility, and reusability.

- Integrate frontend and backend layers with the Agent Chain orchestration platform, enabling seamless interaction with agentic workflows, knowledge bases, and Model Context Protocol (MCP) endpoints.

- Collaborate with DevSecOps and platform teams to containerize, deploy, and operate full stack services on Kubernetes and GCP, embedding CI/CD best practices and security-by-default principles.

- Contribute to architectural decisions and code reviews, mentoring fellow engineers in the Hyderabad team and driving engineering quality standards aligned with EU AI Act, DORA, and NIS2 requirements.

Your profile :

- Bachelor's degree or higher in Computer Science, Software Engineering, or a related field, with 5+ years of professional full stack development experience.

- Expert-level proficiency in TypeScript and React for building complex, production-grade frontend applications, combined with strong backend skills in Python and FastAPI.

- Proven experience designing and consuming RESTful APIs at scale, with a deep understanding of API versioning, authentication (OAuth), and contract-first development.

- Hands-on experience with developer portal frameworks (Backstage or similar), design systems, and delivering polished developer-facing tooling to large engineering organisations.

- Solid working knowledge of Kubernetes, GCP, containerization (Docker), and CI/CD pipelines within DevSecOps environments including GitHub Actions, Terraform, and infrastructure-as-code practices.

- Nice-to-have: Familiarity with agentic AI platforms or LLM-powered applications, experience in regulated financial services environments.