Job Information
United Airlines Senior Developer - Information Technology in Gurugram, India
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
Come join us to create what’s next. Let’s define tomorrow, together.
Description
Description:
United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Our Values:
At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do. Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best airline for our employees, customers, and everyone we serve, and we can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation.
With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave, and space-available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world.
Experience: 5-8 years Software Development And 1–3 years LLM/AI Development
Job overview and responsibilities
We are seeking a Senior AI Engineer to join the Mosaic Program, a strategic initiative dedicated to the modernization of our Passenger Service System (PSS) through the implementation of a cloud-based platform.
In this role, you will not only transform existing legacy applications into cloud-based applications but also design, develop, and deploy advanced LLM-powered applications to expedite the overall SDLC process—starting from reverse engineering of legacy logic through to implementation. You will be a strategic driver of efficiency, using LangChain and LangGraph to build agents that accelerate our transition to a modern, cloud-native PSS ecosystem.
• SDLC Acceleration: Engineer AI agents and workflows to automate the reverse engineering of legacy codebases and expedite the migration to cloud-native microservice architectures.
• AI Orchestration: Design and develop stateful, multi-agent reasoning systems using LangGraph to handle complex logic transformation and code generation.
• Hybrid Development: Maintain a dual-stack proficiency, writing high-quality .NET/C# code for core PSS services while building Python-based AI tools to support them.
• RAG Implementation: Build Retrieval-Augmented Generation (RAG) pipelines to index and query vast technical documentation and legacy specifications.
• Model Integration: Deploy and optimize LLMs (OpenAI, Claude, LLaMA, AWS Bedrock) to automate testing, documentation, and code generation/refactoring.
• Observability: Implement LangSmith to evaluate agent performance, ensuring that AI-generated outputs meet United’s high standards for safety and reliability.
This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.
Qualifications
What’s needed to succeed (Minimum Qualifications):
• 10+ years in Programming: Dual proficiency in Python (for AI) and .NET/C# (for application development).
• 1-2 years in AI Frameworks: Hands-on experience with LangChain and LangGraph for building multi-step reasoning workflows.
• Vector Tech: Experience with semantic search and Vector Databases (Pinecone, FAISS, Chroma, etc.).
• Cloud Architecture: Familiarity with the AWS Ecosystem (ECS, EKS, Lambda, S3, DynamoDB etc).
• System Design: Proven ability to build tool-calling agents that interact with APIs and databases.
What will help you propel from the pack (Preferred Qualifications):
• Experience with LLMOps and AI governance frameworks.
• Background in Containerization (Docker/Kubernetes).
• Familiarity with Legacy-to-Cloud transformation patterns in the aviation sector.
Key Competencies
Transformation Mindset: Ability to see AI as a tool for accelerating complex enterprise migrations.
Scalable Thinking: Designing AI solutions that work at the scale of a global airline.
Collaborative Execution: Bridging the gap between legacy system experts and modern cloud engineers to ensure seamless implementation.