Masters, MBA, JD, MD) or 3 or more years of experience with a PhD* Strong proficiency in programming languages such as Python and Java, with experience building scalable backend services and automation frameworks.* 3+ years of experience with strong DevOps and infrastructure engineering, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines (GitHub Actions, Jenkins, Argo), Infrastructure-as-Code (Terraform, Pulumi), streaming platforms (Kafka, Flink, Pulsar), and deploying distributed systems at scale on cloud platforms such as AWS, Google Cloud, or Microsoft Azure.3+ years of experience supporting GenAI and LLM-based systems, including building pipelines for model training, fine-tuning, and RAG workflows, managing embeddings and vector databases (Pinecone, Weaviate, FAISS, Milvus), designing prompt retrieval and context management systems, and developing agentic AI platforms using multi-agent architectures and orchestration frameworks (LangGraph, LangChain, AutoGen, MCP) with secure tool integration, API orchestration, and observability for autonomous workflows.* You will contribute to building production-grade GenAI platforms, distributed data pipelines, and autonomous workflow systems that support real-time analytics, developer productivity, and next-generation commerce experiences.