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About the role
Role & responsibilities Design, develop, and deploy enterprise-grade GenAI platform solutions. Build scalable LLM, RAG, and Agentic AI applications. Develop secure APIs and microservices for AI workloads. Automate deployments using CI/CD and DevSecOps best practices. Collaborate with cross-functional teams to deliver cloud-native AI solutions. Optimize platform performance, scalability, and reliability. Preferred candidate profile Strong proficiency in Python Experience with Generative AI, LLMs, Prompt Engineering Hands-on experience with RAG (Retrieval-Augmented Generation) and Agentic AI Knowledge of Model Context Protocol (MCP) Strong Data Engineering fundamentals and data pipeline development Experience with Kubernetes, Docker, and Containerized Applications Cloud experience with AWS, Azure, or GCP CI/CD, DevSecOps, Infrastructure as Code, and automation Experience with Kafka/Event Streaming Strong knowledge of REST APIs and Microservices Architecture Experience building and maintaining AI Platforms and deploying LLM-based applications
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