- 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 to translate requirements into technical solutions

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

- Expert-level proficiency with frameworks such as FastAPI, Flask,



or Django;

experience with async programming

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

- Proficiency in building contemporary 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

📌 Software Engineer (Mumbai)
🏢 ADQ Services Private
📍 Mumbai