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# AI Agent Engineer

- **Company:** Thomas Talent Network, LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $200,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Automatic Call Distributor, Artificial Intelligence, Amazon Web Services, Node.Js, Regression Testing, Standard Sql, Core Voice Platform, Performance Testing, Chatbots, Prompt Engineering, Agentic-AI, Kubernetes, Virtual Agents
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-agent-engineer-ny--fc13bee9-9a34-4cc2-bdae-b3c1b5389a58

## About the Role

Artificial Intelligence (AI), Startup, Credit and Collections, Artificial Intelligence (AI), Analysis Skills, Continuous Improvement, Customer Relations, Performance Testing, Production Systems, Architectural Design, * 2+ years in voice AI, conversational AI, prompt engineering, speech systems, or related agentic workflows

 * 3+ years in platform, infrastructure, or backend engineering
 * Strong experience with Node.js, AWS, and SQL
 * Experience building and shipping production systems in a startup or similarly fast-paced environment
 * Experience with voice orchestration platforms or agent frameworks such as LiveKit or equivalent
 * Strong prompt-writing instincts; designs clear, effective, resilient conversational flows
 * Strong analytical skills; ties technical work directly to business outcomes and ROI
 * Excellent written and verbal English (required for the prompt-engineering component)
 * High ownership and strong work ethic
 * Based in or willing to relocate to NYC; in-person 4-5 days per week, * SIP trunking, telephony infrastructure, and production voice systems
 * Real-time audio pipelines, call routing, carrier/telephony integrations
 * Speech infrastructure in production environments
 * Domain knowledge in debt collection, financial services, or regulated consumer communication

## Description

Building its voice AI agent infrastructure in-house and needs an AI Agent Engineer to own it end-to-end. You'll build on top of LiveKit, design the orchestration layer, own the prompting strategy for millions of consumer interactions, and continuously improve voice-agent performance through rigorous testing and iteration. A highly technical role for someone equally comfortable building production-grade systems and writing the conversational AI logic that powers real-world outcomes. Deep voice-AI experience is ideal; a strong infrastructure engineer who is analytical and business-minded is also a fit., * Design and own the architecture of real-time voice-agent systems: orchestration, state management, latency optimization, prompting, reliability

 * Own the end-to-end prompting strategy: conversation flows, tone, compliance-safe phrasing, guardrails, edge-case handling
 * Build and maintain testing/evaluation frameworks (A/B testing, regression testing, conversation QA, benchmarking, KPI reporting)
 * Write, expand, and continuously improve prompting to cover more real-world scenarios
 * Iterate on performance data and call outcomes to improve containment, conversion, liquidation rates, and satisfaction
 * Optimize ASR, STT, TTS, turn-taking, interruption handling, and state transitions
 * Build scalable systems/tooling for millions of voice interactions; migrate clients off legacy voice infra while preserving customizations
 * Work with product, operations, and leadership to translate business goals into high-performing agent behavior