Data Engineer ( Gen AI)

Data Engineer (Gen AI)

Required Skills

• 58 years of software/data engineering experience with hands-on GenAI/LLM development.
  
• Proven track record of

  at least two AI/LLM use cases

  implemented in production.
• Hands-on expertise with

  LangGraph, LangChain, CrewAI

  , and LLM orchestration patterns.
• Strong proficiency in

  Python

  , microservices, API development, and backend patterns.
• Solid understanding of multithreading, I/O operations, concurrency, and scalability.
  
• Production experience with

  FastAPI

  or

  Django

  .
• Strong AWS experience (Lambda, API Gateway, S3, ECS, DynamoDB, etc.).

Agentic & LLM Workflow Engineering

• Build intelligent and autonomous workflows using

  LangGraph, LangChain, and CrewAI

  .
• Translate Travel domain business challenges into effective

  LLM-powered solutions

  .
• Deliver

  at least two AI/LLM use cases

  end-to-end, from design to production deployment.
• Develop agents that enhance customer experiences, recommendations, and backend automation.
  

Backend Development

• Develop and maintain robust

  Python-based microservices

  using

  FastAPI

  or

  Django

  .
• Build and expose secure, scalable

  RESTful

  and

  GraphQL APIs

  for internal and external consumption.
• Ensure code quality, performance, testing, documentation, and adherence to engineering best practices.
  

Cloud & Deployment

• Deploy, monitor, and maintain LLM workflows and services on

  AWS

  using cloud-native best practices.
• Work with AWS services including

  Lambda, API Gateway, S3, ECS, DynamoDB

  , and more.
• Ensure solutions meet scalability, reliability, and security standards.
  

Collaboration

• Work closely with product managers, data engineers, and backend engineering teams to deliver seamless AI-driven user experiences.
  
• Break down complex problems into actionable, structured AI workflows.