Role Summary :

We are seeking a senior Full Stack Developer to design, develop, and deploy production-grade web applications with integrated AI/ML capabilities. You will work across the entire stack from React-based frontends to Python/Java backend services building platforms that leverage Generative AI, intelligent agents, and distributed computing to solve complex engineering challenges.

This role demands a hands-on builder who is comfortable operating in an Agile environment, contributing to architectural decisions, and delivering high-quality software at pace.

Key Responsibilities :

- Design and implement end-to-end features across frontend (React/TypeScript) and backend (Python, Java) services.

- Build and integrate GenAI-powered capabilities including AI agents, retrieval-augmented generation (RAG), and LLM orchestration pipelines.

- Architect and maintain distributed systems handling high-throughput data processing and real-time event streaming.

- Develop RESTful APIs and microservices with proper authentication, authorization, and observability.

- Implement CI/CD pipelines and infrastructure-as-code for automated testing, deployment, and monitoring.

- Participate actively in Agile ceremonies (sprint planning, daily standups, retrospectives) and contribute to backlog refinement.

- Conduct and participate in code reviews, ensuring adherence to coding standards and best practices.

- Collaborate with cross-functional teams to translate requirements into technical solutions.

- Troubleshoot production issues, perform root cause analysis, and implement preventive measures.

Required Qualifications :

- 10 - 12 years of professional software development experience in full-stack roles.

- Python :

1. Expert-level proficiency with frameworks such as FastAPI, Flask, or Django; experience with async programming.

- Java :

1. Strong command of Java 11+ with Spring Boot, microservices patterns, and enterprise-grade application development.

React & JavaScript/TypeScript :

- Proficiency in building modern SPAs with React, state management (Redux/Context), and component-driven architecture.

- Hands-on experience with Generative AI tools LLM APIs, prompt engineering, embedding models, and vector databases.

- Experience building or integrating AI Agents (autonomous task execution, tool-use patterns, multi-agent orchestration).

- Strong understanding of distributed systems concepts event-driven architecture, message queues, caching, database sharding.

- Proficiency with AWS services (EC2, ECS/Fargate, Lambda, S3, DynamoDB, SQS, Step Functions, Bedrock).

- Experience working in Agile/Scrum teams with iterative delivery and continuous improvement.

- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.