SWE & App Arch Sr Engineer

Overview Responsible for AIQ global features development as module lead. Takes care of Metrics , Insights, AI Agent and any new global feature modules design & develop performant, secure RESTful/GraphQL APIs with clear contracts to enable parallel UI development, while optimizing databases and data pipelines for strict throughput requirements. Guide and unblock a small sub-team of four backend engineers by effectively delegating tasks, conducting code reviews, and enforcing rigorous unit, integration, and performance testing standards Responsibilities Design & Build Services- Create scalable microservices using Java, Spring Boot, and Spring Cloud. Implement Distributed Patterns - Manage service discovery, API gateways, and circuit breakers. Event-Driven Integration - Connect services using message brokers like Kafka or messaging queues. Containerization & Deployment - Deploy and orchestrate services using Docker and Kubernetes (AKS/EKS). Develop Autonomous Agents - Build intelligent agents capable of task automation, reasoning loops (like ReAct), and decision-making. Orchestrate Workflows - Set up multi-agent collaboration patterns, routing, and prompt chaining. Vector & RAG Integration - Integrate Retrieval-Augmented Generation (RAG) architectures and vector databases (e.g., Azure AI Search) with Java backends. API Connectivity - Link LLM providers (OpenAI, Hugging Face) securely via REST APIs Track agent behaviors, system latency, and failure rates in production environments. Partner with DevOps teams to automate testing and streamline deployments Qualifications Any Bachelors degree or above with 8+ years of experience in fullstack developement

Design & Build Services- Create scalable microservices using Java, Spring Boot, and Spring Cloud. Implement Distributed Patterns - Manage service discovery, API gateways, and circuit breakers. Event-Driven Integration - Connect services using message brokers like Kafka or messaging queues. Containerization & Deployment - Deploy and orchestrate services using Docker and Kubernetes (AKS/EKS). Develop Autonomous Agents - Build intelligent agents capable of task automation, reasoning loops (like ReAct), and decision-making. Orchestrate Workflows - Set up multi-agent collaboration patterns, routing, and prompt chaining. Vector & RAG Integration - Integrate Retrieval-Augmented Generation (RAG) architectures and vector databases (e.g., Azure AI Search) with Java backends. API Connectivity - Link LLM providers (OpenAI, Hugging Face) securely via REST APIs Track agent behaviors, system latency, and failure rates in production environments. Partner with DevOps teams to automate testing and streamline deployments

Any Bachelors degree or above with 8+ years of experience in fullstack developement