Intone
From Intone's careers page
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United Airlines is seeking Voice AI Developers for a hybrid contract role in Chicago, Illinois, focused on building voice-enabled AI agents to support customer service and retail automation. This is a six-month engagement requiring hands-on senior development expertise in conversational AI, cloud infrastructure, and production software delivery.
Design, develop, and deploy voice AI agents and agentic workflows using Python and LangChain, LangGraph, or comparable frameworks.
Build conversational workflows that manage customer intent, multi-turn context, tool execution, business rules, fallback behavior, and handoff to a live representative.
Integrate speech recognition, speech synthesis, streaming interfaces, and contact center platforms; optimize response latency, turn-taking, interruption handling, and recovery from recognition errors.
Develop secure APIs and backend integrations that enable AI agents to retrieve information and execute approved customer service and retail transactions.
Implement and optimize prompts, agent orchestration, retrieval-augmented generation (RAG), and grounding against approved enterprise knowledge sources.
Build resilient, scalable AWS solutions with appropriate timeout, retry, error-handling, and asynchronous processing patterns.
Write clean, maintainable code; participate in design and code reviews; and contribute to technical specifications and architectural decisions.
Develop unit, integration, and conversational regression tests; support end-to-end, performance, and non-functional testing.
Evaluate conversation quality, task completion, response accuracy, latency, and failure scenarios; use findings to improve reliability and customer experience.
Implement security, customer data protection, responsible AI guardrails, and controls against unsupported responses or unauthorized actions.
Estimate work for sprint and release planning, communicate dependencies and risks, and deliver assigned capabilities on time and to agreed quality standards.
Prepare and release software through non-production and production environments using CI/CD pipelines; support deployment validation and post-release monitoring.
Troubleshoot production issues, identify root causes, implement fixes, and document operational procedures and support handoffs.
Collaborate with employees, vendor contractors, product teams, and business stakeholders in an Agile delivery environment.
Required
Python development: Production-quality backend services, asynchronous programming, object-oriented design, and automated testing.
Conversational and voice AI: LLM-powered voice agents, speech-to-text and text-to-speech integration, real-time conversation flows, and voice experience optimization.
AI agent development and orchestration: LangChain, LangGraph, or comparable frameworks; tool calling, prompt engineering, conversation state management, and RAG.
AWS cloud development: Scalable deployment, serverless and container-based services, monitoring, and production troubleshooting.
API integration and software design: REST APIs, microservices, event-driven patterns, and relational, NoSQL, and vector databases.
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