Job Description Strong understanding of Agentic AI architectures, including multi-agent systems, tool orchestration, planning, memory, and feedback loops Proven hands-on experience with Generative AI (GenAI) technologies such as LLMs, prompt engineering, RAG, embeddings, and model evaluation Ability to support POC development and transition it to production-grade solutions, ensuring scalability, reliability, and maintainability Solid expertise in cloud platforms (AWS preferred) including: Compute, storage, networking, and security fundamentals Managed AI/ML services and MLOps pipelines Cloud-native application design (microservices, APIs, containers) Experience in deploying, monitoring, and optimizing AI workloads in production environments Strong troubleshooting skills with the ability to provide quick, effective solutions to technical challenges during development and deployment Knowledge of CI/CD practices, infrastructure as code, and automation for AI applications Understanding of performance, cost optimization, compliance, and security considerations for AI solutions Ability to collaborate closely with internal teams to: Understand POC design and intent Identify gaps for production readiness Implement best practices and improvements Good communication skills to explain technical concepts clearly and support rapid iterations Prior experience supporting enterprise-grade AI or cloud solutions is highly preferred Required Skills Ai/ml,Generative AI (GenAI) ,LLMs, prompt engineering, RAG, embeddings,cloud platforms (AWS),MLOps,Agentic AI Supported Skills Agentic AI architectures