Role Overview :

We are seeking a seasoned Senior Full Stack Developer to spearhead the architecture and development of our next-generation AI Developer Portal in Hyderabad. In this role, you will bridge the gap between complex AI infrastructure and developer experience, building intuitive interfaces that allow engineers to seamlessly interact with Agentic AI workflows.

You will collaborate closely with AI research teams, product managers, and backend engineers to translate sophisticated model capabilities into accessible, high-performance tools. Your work will directly influence how developers build, test, and deploy AI agents, serving as the primary gateway for our ecosystem and driving the adoption of our cutting-edge AI technologies.

Key Responsibilities :

- Architect and build scalable, responsive web applications using React and TypeScript to provide a seamless interface for AI developers.

- Design and implement robust backend services using Python and FastAPI to manage high-concurrency requests and complex data processing pipelines.

- Integrate advanced authentication and authorization protocols, specifically OAuth, to ensure secure access to developer environments and sensitive AI assets.

- Develop and maintain Model Context Protocol (MCP) implementations to enable interoperability between AI models and external developer tools.

- Orchestrate containerized applications using Docker and Kubernetes to ensure high availability and efficient resource management across our production environments.

- Collaborate with cross-functional teams to define API design standards that prioritize developer ergonomics, performance, and long-term maintainability.

Required Skillset :

- Demonstrated expertise in building full-stack applications with a deep proficiency in TypeScript, React, and Python-based backend frameworks like FastAPI.

- Proven ability to design secure, scalable API architectures and implement complex authentication flows using OAuth standards.

- Hands-on experience with containerization and orchestration technologies, specifically Docker and Kubernetes, to manage production-grade deployments.

- Strong understanding of the AI development lifecycle, with a specific focus on Agentic AI frameworks and the Model Context Protocol (MCP).

- Exceptional communication skills, with the ability to articulate technical trade-offs to stakeholders and mentor junior developers in a collaborative, hybrid work environment.

- A Bachelor's or Master's degree in Computer Science or a related field, complemented by 5 to 15 years of professional experience in building developer-facing platforms or high-scale web applications.