· Hands on enterprise level J2EE based web application development and support · Hands on experience in React JS, Spring / Spring Boot / Cloud technologies · Experience on Pivotal Cloud Foundry (PCF) environment. · Experience in troubleshooting and debugging skills. · Experience in support role with numerous B2B(business to business) functions such as production monitoring of data, error analysis, client correspondence(both electronic and phone) as well as deep dive investigation of issues stemming from failures.

Design, develop, and deploy GenAI and ML solutions using Azure OpenAI, Azure ML, Azure AI Studio , and related services Build LLM‑powered applications using: Prompt engineering, Tool/function calling, Retrieval‑Augmented Generation (RAG) and Agentic AI design patterns Develop Agent‑to‑Agent (A2A) workflows for task decomposition, orchestration, and collaboration Implement Model Context Protocol (MCP) to standardize tool access, memory, and context management across agents Apply MLOps and LLMOps practices: CI/CD for models and prompts and Versioning, monitoring, evaluation Failure detection and mitigation (hallucinations, drift, prompt regressions) Implement LLM security and guardrails : Prompt injection prevention, Data leakage protection and Output moderation and policy enforcement Fine‑tune and adapt models for economy - token economics, latency, and cost optimization Build and expose AI capabilities via secure APIs and microservices Collaborate with architects, data engineers, and platform teams Actively research and document emerging GenAI techniques and tools Mentor junior engineers and contribute to internal knowledge assets

We are hiring experienced Gen AI Developers and Tech Lead–Infra to join our Enterprise AI Platform team. The role involves building and managing a secure, scalable AWS-based infrastructure for advanced AI workloads. You will work on Bedrock, AgentCore, EKS/ECR, and develop platform components, gateways, and multi-LLM integrations. The position requires strong expertise in Terraform, CI/CD pipelines, identity management, and observability tools. Ideal candidates have 5+ years of AWS platform engineering experience and a deep understanding of distributed systems, security, and enterprise-grade AI platform development. This role offers an opportunity to work on cutting-edge AI infrastructure at scale.