{"id":1250982,"url":"https://alion.io/job/united-senior-developer-voice-ai","title":"Senior Developer - Voice AI","company":{"id":18409,"name":"United Airlines","domain":"united.com","url":"https://alion.io/company/united","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":112480,"max":146540,"currency":"USD","period":"year","gross":null,"usd_annual":146540},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"C#","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"A/B Testing","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon EC2","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon S3","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS Lambda","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"CI/CD","optional":true},{"name":"DynamoDB","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-09-25T18:25:37Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-04T01:23:00Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"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.\nDescription\nUnited'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.\nJob overview and responsibilities\nWe 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.\nOur Vision:\nYou 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.\nDesign, develop, and deploy AI agents and agentic workflows using LangChain, LangGraph, or similar agent development frameworks\nBuild scalable automation solutions that handle high-volume customer retail intents and journeys, particularly during peak demand and irregular operations (IRROPS)\nDevelop conversational AI solutions and voice automation capabilities that seamlessly integrate with United's customer service channels\nWrite clean, maintainable, and well-documented code in Python, TypeScript, and .NET/C#\nImplement and optimize AI agent orchestration, prompt engineering, and retrieval-augmented generation (RAG) patterns\nCollaborate with AI/ML engineers, data scientists, and product teams to translate business requirements into technical solutions\nParticipate in full development life cycle including requirements analysis and design using Agile methodologies\nServe as technical expert on AI automation development projects\nWrite technical specifications based on conceptual design and stated business requirements\nSupport, maintain, and document AI agent functionality and automation workflows\nIdentify and evaluate new AI technologies and frameworks for implementation\nAnalyze code to find causes of errors and revise programs as needed\nParticipate in software design meetings and analyze user needs to determine technical requirements\nCollaborate with cross-functional teams consisting of employees and vendor contractors in planning and execution\nCollaborate with end users to prototype, refine, test, and debug AI agents to meet customer experience needs\nEnsure adherence to code quality standards, security protocols, and responsible AI principles\nLeverage cloud technologies (AWS preferred) to build and deploy AI solutions at scale\nContribute to architectural decisions and best practices for AI agent development\nQualifications\nWhat’s needed to succeed (Minimum Qualifications):\nBachelor's degree \nComputer Science, Engineering, Information Systems or related field preferred\n3+ years of experience in software design and development\nStrong proficiency in Python programming\nExperience with TypeScript and .NET/C# development\nKnowledge of Object-Oriented systems design and Application Development\nExperience implementing AWS technologies\nStrong knowledge of API development and integration\nExperience with Cloud Automation Development Tools\nKnowledge of SQL, NoSQL databases and Design Patterns\nMust be legally authorized to work in the United States for any employer without sponsorship\nSuccessful completion of interview required to meet job qualification\nReliable, punctual attendance is an essential function of the position\n\nWhat will help you propel from the pack (Preferred Qualifications):\n2+ years of experience building AI agents, conversational AI, or voice automation solutions\nHands-on experience with LangChain, LangGraph, or similar agent development frameworks\nExperience with Generative AI, Large Language Models (LLMs), and prompt engineering\nKnowledge of retrieval-augmented generation (RAG) patterns and vector databases\nExperience with AWS services including Lambda, Step Functions, API Gateway, S3, DynamoDB, ECS, EC2, CloudWatch, Vector Databases\nExperience with event-driven architectures and asynchronous processing\nKnowledge of DevOps, CI/CD pipelines, automation, and infrastructure as code\nExperience with A/B testing and experimentation frameworks\nUnderstanding of responsible AI principles and AI governance\nExperience in enterprise-scale applications\nAirlines or travel industry experience is a plus\nExperience with contact center or customer service technology platforms\nFamiliarity with Agile/Scrum methodologies\nThe base pay range for this role is $112,480.00 to $146,540.00.\nThe base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.\nYou may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.\nUnited Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. 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