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Full Time Ai Voice Jobs (NOW HIRING)

AI Agent Engineer

New York, NY ยท Hybrid

$200K - $300K/yr

... Full-time Compensation: $200K-$300K + 0.25%-1% equity About the Company Our client is an early-stage, venture-backed startup building AI voice agents that automate consumer financial-services ...

We're looking for a full-time AI Engineer to help shape and execute Fanatics' AI strategy across ... A front-row seat, and a real voice, in how a global sports and collectibles company adopts AI.

Staff Design Engineer Clerk Chat | Full-time About Clerk Chat Clerk Chat is a conversational AI platform that handles customer communications across SMS, voice, and email channels. Recently Series A ...

Compliance Engineer

San Francisco, CA ยท On-site +1

$6.0K - $7.5K/mo

Thousands of companies now utilize Retell's AI voice agents to handle sales, support, and logistics ... JOB DETAILS * Employment Type: Full-Time or Part-Time 1099 Contractor * Location: Remote

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How much do full time ai voice jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for full time ai voice in the United States is $48.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $60.10 per hour, depending on experience, location, and employer.

What is a full time AI voice job?

Full Time AI Voice jobs involve working with artificial intelligence technologies that generate, process, or analyze human speech. Professionals in these roles may develop, train, and optimize AI models for voice recognition, speech synthesis, and natural language processing. These positions often require skills in machine learning, linguistics, and software engineering, and can be found in industries like tech, customer service, and entertainment. The work typically includes designing AI voice assistants, improving speech-to-text accuracy, and creating lifelike synthetic voices for various applications.

What are the key skills and qualifications needed to thrive as an AI voice developer?

To thrive as an AI Voice Developer, you need strong programming skills (such as Python), understanding of natural language processing (NLP), and typically a background in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, and speech recognition APIs, as well as experience with cloud platforms, is essential. Creative problem-solving, attention to detail, and effective collaboration are standout soft skills in this role. These skills and qualities are crucial for developing accurate, user-friendly AI voice solutions that meet real-world communication needs.

What are some common challenges faced by professionals working full time in AI voice roles, and how can they be addressed?

Full-time AI voice professionals often encounter challenges such as ensuring high accuracy in speech recognition, maintaining natural-sounding speech synthesis, and adapting voice models to diverse accents or languages. Collaboration with linguists, data scientists, and software engineers is vital to address these issues and improve model performance. Keeping up with rapid advancements in AI technology and continuously testing models with real-world data can help professionals stay ahead and deliver high-quality voice solutions.
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Infographic showing various Full Time Ai Voice job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $100,198 per year, or $48.2 per hour.

Real-Time Voice AI Agent Systems Engineer

HireNow Staffing

New York, NY โ€ข On-site

$200K - $300K/yr

Full-time

Posted 24 days ago


Job description

Real-Time Voice AI Agent Systems Engineer Company: HireNow Staffing (Direct Placement Partner) HireNow Snapshot HireNow Staffing is actively recruiting a highly skilled Real-Time Voice AI Agent Systems Engineer to join one of our valued client partners. This is a high-ownership engineering opportunity for someone capable of building production-grade voice AI infrastructure and conversational agent systems from the ground up. The selected engineer will own the technical foundation behind millions of real-world AI voice interactions—from LiveKit architecture and orchestration to prompting, speech performance, testing, reliability, and continuous optimization. This position requires more than traditional backend development. The successful candidate must understand how infrastructure, conversational logic, speech systems, latency, and business outcomes intersect. The engineer will have significant ownership over how AI agents communicate, respond, recover from edge cases, and perform at scale. Key Responsibilities
  • Build and own production voice AI infrastructure using LiveKit.
  • Architect real-time voice-agent systems covering orchestration, state management, reliability, latency, and conversational execution.
  • Develop the prompting architecture governing conversation flows, tone, guardrails, compliant phrasing, exception handling, and agent behavior.
  • Create scalable testing and evaluation frameworks incorporating A/B testing, regression testing, conversation QA, benchmarking, and KPI measurement.
  • Analyze production interaction data and translate findings into measurable improvements in agent performance.
  • Optimize ASR, STT, TTS, turn-taking, interruption handling, state transitions, and real-time conversational responsiveness.
  • Build infrastructure capable of reliably supporting millions of voice interactions.
  • Develop migration tooling and processes for transitioning customers from legacy voice infrastructure while preserving required customizations.
  • Identify and resolve performance bottlenecks, reliability issues, conversational failures, and production edge cases.
  • Partner closely with Product, Operations, and leadership to translate commercial objectives into technical systems and effective agent behavior.
  • Continuously expand conversational coverage as new customer scenarios and operational requirements emerge.
Required Qualifications
  • 3+ years of platform, infrastructure, backend, or comparable production engineering experience.
  • 2+ years of experience involving voice AI, conversational AI, speech systems, prompt engineering, or related agentic workflows.
  • Strong hands-on development experience with Node.js.
  • Strong experience with AWS and SQL.
  • Experience designing and shipping production systems within a startup or similarly fast-moving engineering environment.
  • Hands-on experience with LiveKit or a comparable voice orchestration/agent framework.
  • Strong understanding of real-time system architecture, state management, reliability, and performance optimization.
  • Demonstrated ability to design clear, resilient, and effective conversational prompts and agent flows.
  • Strong analytical ability with experience connecting engineering decisions to measurable operational or business outcomes.
  • Excellent written and verbal English communication skills.
  • High degree of technical ownership and ability to execute with limited oversight.
  • Must reside in or be willing to relocate to the New York City area.
  • Must be able to work onsite in Manhattan 4–5 days per week.
  • Must be permanently authorized to work in the United States.
  • No visa sponsorship is available.
Preferred Qualifications
  • Production experience with SIP trunking and telephony infrastructure.
  • Experience developing real-time audio pipelines.
  • Knowledge of call routing, telephony carriers, and communication integrations.
  • Experience operating speech infrastructure at significant production scale.
  • Advanced knowledge of ASR/STT, TTS, interruption management, latency optimization, and conversational turn-taking.
  • Experience building evaluation frameworks for production AI agents.
  • Background in debt collection, financial services, fintech, or regulated consumer communications.
  • Experience working in an early-stage or Seed-stage startup environment.
  • Experience connecting agent-performance metrics to conversion, containment, satisfaction, or other commercial KPIs.
HireNow Package Compensation: $200,000–$300,000 annually + equity Employment Type: Full-Time | Direct Placement Experience Level: 3–10 years, with required relevant engineering experience. Work Location: Manhattan, New York | In-Person 4–5 Days Per Week Equity: Equity participation included. Applicant Requirements: Candidates must be based in or willing to relocate to the New York City area and able to meet the in-person requirement. Work Authorization: Permanent U.S. work authorization required. No visa sponsorship available. HireNow Checklist HireNow Staffing is recruiting a Real-Time Voice AI Agent Systems Engineer who:
  • Combines strong backend/infrastructure engineering with meaningful voice AI, conversational AI, speech, or agentic-system experience.
  • Has hands-on expertise with Node.js, AWS, SQL, and LiveKit or comparable technology.
  • Can architect real-time production systems rather than focusing exclusively on application-level development.
  • Understands prompting as an engineering discipline involving conversational logic, guardrails, testing, edge cases, and measurable performance.
  • Can optimize speech-agent behavior across latency, turn-taking, interruptions, state transitions, and reliability.
  • Has successfully shipped production technology in a fast-moving environment.
  • Uses data and testing to connect technical improvements directly to business results.
  • Can work onsite in Manhattan 4–5 days per week without requiring employment sponsorship.
HireNow Standout Candidates Candidates will receive the strongest consideration if they demonstrate:
  • Direct experience building production voice AI infrastructure from the ground up.
  • Deep hands-on LiveKit experience.
  • Proven experience supporting voice or conversational systems operating at significant interaction volume.
  • Expertise spanning real-time infrastructure, speech technology, prompting, evaluation, and performance optimization rather than only one discipline.
  • Experience with SIP, telephony carriers, real-time audio pipelines, and production call infrastructure.
  • Strong experimentation skills using A/B tests, regression testing, benchmarking, and conversation-quality analysis.
  • Demonstrated improvements to measurable AI-agent KPIs or business outcomes.
  • Experience operating successfully within small, highly technical startup teams.
  • Knowledge of regulated financial-services or consumer-communications environments.
  • Stable employment history demonstrating increasing engineering ownership.
HireNow Disqualifiers The following will prevent candidates from moving forward:
  • Jumpy resumes will not be accepted or interviewed.
  • Less than three years of relevant platform, infrastructure, backend, or comparable engineering experience.
  • No meaningful voice AI, conversational AI, speech-system, prompt-engineering, or related agentic-workflow experience.
  • No experience shipping production-grade systems.
  • Insufficient hands-on experience with Node.js, AWS, or SQL.
  • No exposure to LiveKit or comparable voice-agent/orchestration frameworks.
  • Candidates whose experience is limited to prompt writing without sufficient production engineering expertise.
  • Candidates unable to work onsite in Manhattan 4–5 days per week or relocate accordingly.
  • Applicants requiring current or future visa sponsorship.
  • Candidates who do not meet the core qualifications.
HireNow Staffing Disclaimer HireNow Staffing is acting as a direct placement partner for this Real-Time Voice AI Agent Systems Engineer opportunity. All candidate information is handled confidentially and evaluated against defined requirements. This job description outlines the general scope of responsibilities and qualifications. Duties may evolve based on client needs and business growth. Only candidates meeting the core qualifications will be considered for interview. Client-specific information will be shared only with qualified candidates during the interview process. https://www.careers-page.com/hirenow-staffing-inc/job/Y6867RY5

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About HireNow Staffing

Sourced by ZipRecruiter

HireNow Staffing originated from the recognition of a need within the job market for a more efficient and specialized approach to staffing. We have identified challenges that businesses faced in finding and hiring qualified candidates, especially in industries like healthcare, executive roles, and industrial sectors. The ethos of HireNow Staffing is straightforward. We're motivated by a singular vision: to efficiently address the staffing needs of businesses, ensuring they're equipped with the right employees for optimal operations. Situated in the thriving heart of Kent, WA, we have evolved into a beacon of recruitment excellence. Our process, designed for speed and reliability, ensures that each candidate is screened meticulously, matching their skill set with the perfect job role. Whether temporary employment, a transition from temp to hire, or direct placement, our goal remains consistent โ€“ to provide unparalleled recruitment solutions. Our commitment goes beyond mere numbers. We are deeply rooted in our community, aiming to fulfill the immediate staffing needs of businesses. Our assistance ensures that every company we collaborate with operates at its full potential. We are more than just a staffing agency; we're the trusted ally in your business's operational journey.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Kent, WA, US

Year founded

2022

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