Senior AI Engineer (GenAI + Data Platform – AWS)

Hi, Job Title: Senior AI Engineer (GenAI + Data Platform – AW S)Location : Remote .Contrac t. JD:Key Responsibiliti • es:Design, build, and scale Generative AI and Data Platform solutions on A • WS.Develop LLM-powered applications using RAG, embeddings, and prompt engineering techniqu • es.Build and manage vector search solutions using OpenSearch and graph databases using Neptu • ne.Develop agentic AI workflows using LangGraph, AutoGen, CrewAI, or similar framewor • ks.Create scalable data ingestion, transformation, and embedding pipelines using Databricks and Apache Spa • rk.Build secure and reusable backend services and APIs to expose AI capabiliti • es.Implement CI/CD pipelines and deploy applications using Docker and Kubernet • es.Monitor, evaluate, and optimize AI systems for performance, cost, accuracy, and reliabili • ty.Establish data governance, security, compliance, and responsible AI practic • es.Collaborate with product, engineering, and business teams to deliver production-grade AI solutio ns.Required Skil • ls:Strong experience with Generative AI, LLMs, RAG, embeddings, and prompt engineeri • ng.Hands-on expertise with AWS services including OpenSearch, Neptune, DynamoDB, and ElastiCache (Redi • s).Experience with LangChain, LlamaIndex, and agentic AI framewor • ks.Strong Python programming skil • ls.Experience with Databricks, Apache Spark, and data engineering pipelin • es.Knowledge of API development, distributed systems, and cloud-native architectur • es.Experience with Docker, Kubernetes, CI/CD, and MLOps practic es.Preferred Qualificatio • ns:Experience with LLM observability and model evaluation too • ls.Knowledge of AI governance, security, and compliance framewor • ks.Familiarity with MCP (Model Context Protocol) and agent-based architectur • es.Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related fie ld.