Senior Developer - AI

United Airlines•Chicago, IL

21h•$112,480 - $146,540

About The Position

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. We are seeking a highly skilled Senior Developer with strong hands-on expertise in AI agent development, Python, and modern cloud technologies. This role requires an individual who can independently design and build scalable AI automation solutions, create sophisticated agentic workflows, and contribute to architectural decisions while ensuring high-quality delivery and support. Our Vision: You will be responsible for creating multiple AI agents that run at scale, implementing automation workflows for customer retail intents and journeys across voice, chat, and future channels. Your work will directly contribute to eliminating wait times and giving every United customer a fast, effortless resolution.

Requirements

Bachelor's degree
Computer Science, Engineering, Information Systems or related field preferred
3+ years of experience in software design and development
Strong proficiency in Python programming
Experience with TypeScript and .NET/C# development
Knowledge of Object-Oriented systems design and Application Development
Experience implementing AWS technologies
Strong knowledge of API development and integration
Experience with Cloud Automation Development Tools
Knowledge of SQL, NoSQL databases and Design Patterns
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position

Nice To Haves

2+ years of experience building AI agents, conversational AI, or voice automation solutions
Hands-on experience with LangChain, LangGraph, or similar agent development frameworks
Experience with Generative AI, Large Language Models (LLMs), and prompt engineering
Knowledge of retrieval-augmented generation (RAG) patterns and vector databases
Experience with AWS services including Lambda, Step Functions, API Gateway, S3, DynamoDB, ECS, EC2, CloudWatch, Vector Databases
Experience with event-driven architectures and asynchronous processing
Knowledge of DevOps, CI/CD pipelines, automation, and infrastructure as code
Experience with A/B testing and experimentation frameworks
Understanding of responsible AI principles and AI governance
Experience in enterprise-scale applications
Airlines or travel industry experience is a plus
Experience with contact center or customer service technology platforms
Familiarity with Agile/Scrum methodologies

Responsibilities

Design, develop, and deploy AI agents and agentic workflows using LangChain, LangGraph, or similar agent development frameworks
Build scalable automation solutions that handle high-volume customer retail intents and journeys, particularly during peak demand and irregular operations (IRROPS)
Develop conversational AI solutions and voice automation capabilities that seamlessly integrate with United's customer service channels
Write clean, maintainable, and well-documented code in Python, TypeScript, and .NET/C#
Implement and optimize AI agent orchestration, prompt engineering, and retrieval-augmented generation (RAG) patterns
Collaborate with AI/ML engineers, data scientists, and product teams to translate business requirements into technical solutions
Participate in full development life cycle including requirements analysis and design using Agile methodologies
Serve as technical expert on AI automation development projects
Write technical specifications based on conceptual design and stated business requirements
Support, maintain, and document AI agent functionality and automation workflows
Identify and evaluate new AI technologies and frameworks for implementation
Analyze code to find causes of errors and revise programs as needed
Participate in software design meetings and analyze user needs to determine technical requirements
Collaborate with cross-functional teams consisting of employees and vendor contractors in planning and execution
Collaborate with end users to prototype, refine, test, and debug AI agents to meet customer experience needs
Ensure adherence to code quality standards, security protocols, and responsible AI principles
Leverage cloud technologies (AWS preferred) to build and deploy AI solutions at scale
Contribute to architectural decisions and best practices for AI agent development