Data Engineer (Gen AI)

Role Overview: You will be responsible for building agentic workflows using modern LLM orchestration framework to automate and optimize complex business processes in the Travel domain. As an Individual contributor (IC), you will own end-to-end development of intelligent agents and services that power customer experiences, recommendations, and backend automation. Your role will involve designing and implementing agentic and autonomous workflows using frameworks such as LangGraph, LangChain, and CrewAI. You will also be translating business problems in the Travel domain into intelligent LLM powered workflows, owning at least two AI use case implementations from design to production deployment. Key Responsibilities: - Build and expose RESTful and GraphQL APIs to support internal and external consumers. - Develop and maintain robust Python-based microservices using FastAPI or Django. - Collaborate with product managers, data engineers, and backend teams to design seamless AI-driven user experiences. - Deploy and maintain workflows and APIs on AWS with best practices in scalability and security. Qualifications Required: - Experience in Big Data technologies (Hadoop, Teradata, Snowflake, Spark, Redshift, Kafka, etc.) for Data Processing is a plus. - Experience with data management processes on AWS is highly beneficial. - AWS certification is preferred. - Hands-on experience in building applications with LangGraph, LangChain, and CrewAI. - Experience working with AWS services such as Lambda, API Gateway, S3, ECS, DynamoDB. - Proven track record of implementing at least two AI/LLM based use cases in production. - Strong problem-solving skills with the ability to deconstruct complex problems into actionable AI workflows. - Experience in building scalable, production-grade APIs using FastAPI or Django. - Strong command over Python and software engineering best practices. - Solid understanding of multithreading, IO operations, and scalability patterns in backend systems.,