Data Engineer Gen AI

Experience :5-8 yrs

Responsible for building agentic workflows using modern LLM orchestration framework to automate and optimize xomplex business process in the Travel domain.

Individual contributor (IC), owning end to end development of intelligent agents and services that power customer experiences, recommendations and backend automation.

Design and implement agentic and autonomous workflows using framework such as LangGraph, LangChain and CrewAI.

Translate business problems in the Travel domain into intelligent LLM powered workflows.

Own at least two AI use case implementation from design to production deployment.

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 experience.

Deploy and maintain workflow and APIs on AWS with best practices in scalability and security.

Nice to have

Experience in a Big Data technologies (Hadoop, Terradata, Snowflake, Spark, Redshift, Kafka, etc.) for Data Processing.

Experience with data management process on AWS is a huge Plus.

AWS certification

Hand on experience building applications with LangGraph, LangChain and CrewAI.

Experience working with AWS services - Lambda, API Gateway, S3, ECS, DynamoDB

Experience and Proven track record of implementing at least two AI / LLM based use cases in production.

Strong problem solving skills with the ability to deconstract complex problems into actionable AI workflows

Experience 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