Voice AI Developers 16676

ZealHire Inc.; Chicago (IL); Hybrid; USD 150,000 - 210,000; Full time

Job summary

ZealHire Inc. is seeking a hands-on senior developer to build voice-enabled AI agents and orchestration workflows. You will design and implement scalable back-end services using Python, LangChain/LangGraph, and AWS, delivering production-ready capabilities.

Expect collaboration with product, AI/ML, and platform teams in an Agile setting. You will own delivery from requirements through production support, write tests, participate in design reviews, and ensure security and data protection.

Qualifications

• Experience building production-grade Python backend services.
• Proficiency with AI agents, conversational flows, and real-time interactions.
• Hands-on experience with LangChain, LangGraph, or similar frameworks.
• Strong AWS deployment, monitoring, and fault-tolerant design.
• Design of REST APIs, microservices, and data storage solutions.

Responsibilities

• Design, develop, and deploy voice AI agents and workflows using Python and LangChain/LangGraph.
• Create conversational flows with context handling, tool calls, and live handoffs.
• Integrate speech tech and contact center platforms; optimize latency and reliability.
• Develop secure APIs and backend integrations for customer service actions.
• Implement prompts, RAG, and enterprise knowledge grounding.
• Build scalable AWS solutions with proper error handling and retries.
• Conduct testing, reviews, and contribute to technical specifications.
• Write unit/integration/conversational regression tests; support end-to-end testing.
• Assess conversation quality and improve reliability and user experience.
• Enforce security and data protection; govern AI guardrails.
• Estimate work, plan sprints, and manage dependencies and risks.
• Prepare releases via CI/CD and support production monitoring.
• Troubleshoot production issues and document operational procedures.
• Collaborate with teams and stakeholders in an Agile environment.

Skills

Python development

Conversational AI

AI agent development

AWS cloud development

API integration

Tools

LangChain

LangGraph

Job description

USC/GCNeed LinkedIn, VISA DLLocals- hybrid

Top 5 Skill Sets

• 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.

Project Overview

You will support United's AI automation initiatives by building voice-enabled AI agents that help customers complete retail and service journeys quickly and reliably. The primary focus is voice automation, with reusable capabilities that can support future channels. Solutions must integrate with enterprise services and scale during peak demand and irregular operations (IRROPS).

This is a hands-on senior development contract role responsible for designing, coding, testing, deploying, and supporting production solutions—not solely developing prototypes or prompts. You will work with product, architecture, AI/ML, and platform teams, contribute to technical decisions, and own delivery of assigned capabilities from requirements through production support.

Primary Responsibilities

• 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.

$000,000 - $000,000 Salary range is not shown on the candidate portal