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7 дней назад

Senior/Staff AI Agent Engineer (Voice)

225 000 - 325 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior/Staff AI Agent Engineer (Voice): Improving conversational AI agents for customer-facing businesses through production analysis, experimentation, and software engineering with an accent on voice behavior, evaluation, and measurable customer outcomes. Focus on diagnosing turn-taking, latency, transcription, speech quality, and orchestration issues while shipping reliable improvements across hundreds of thousands of conversations.

Location: New York City, United States; four days per week in the Flatiron office and one remote day, with flexibility when needed.

Salary: $225,000–$325,000 annual base salary plus meaningful early equity.

Company

hirify.global builds AI-powered software for roofing, HVAC, plumbing, remodeling, and other home-service businesses, handling customer interactions across voice, SMS, and email.

What you will do

  • Analyze production conversations, calls, traces, and customer feedback to identify agent failure patterns and prioritize improvements.
  • Define quality dimensions, evaluation datasets, human review processes, automated graders, and production metrics.
  • Design reproducible experiments, compare approaches, and validate changes through offline evaluations and controlled production rollouts.
  • Improve voice-agent turn-taking, interruptions, response latency, transcription, speech quality, and conversational naturalness.
  • Implement, monitor, and maintain improvements while balancing quality, reliability, cost, and regressions.
  • At Staff level, shape evaluation and experimentation strategy and raise the team’s ability to diagnose and improve agent behavior while remaining hands-on.

Requirements

  • Demonstrated experience improving substantial AI agent systems deployed to external customers, including the ability to explain system scale, identified problems, hypotheses, experiments, personal implementation work, and production outcomes.
  • Strong experimental and analytical judgment, including defining baselines, designing comparisons, interpreting noisy or confounded results, and learning from unsuccessful hypotheses.
  • Strong software engineering ability, including conversational-data analysis with code and SQL, complex agent debugging, and production implementation of experimental improvements.
  • Practical understanding of how models, instructions, context, tools, and orchestration interact, including trade-offs between quality, latency, reliability, and cost.
  • Ownership, clear communication, comfort with ambiguity, and effective collaboration with engineering and product teams.
  • Desire to work in an early-stage startup with broad responsibility, rapid iteration, and high standards; effective use of AI programming tools is expected.

Nice to have

  • Hands-on experience improving production voice agents, including conversational timing, speech recognition and generation, audio quality, and end-to-end latency.
  • Exceptional experience improving other customer-facing agents combined with strong judgment on voice problems and willingness to develop deeper voice expertise.
  • Experience building simulation, replay, or evaluation tools for multi-turn agents.
  • Experience developing human-review workflows or calibrating automated evaluations against human judgment.
  • Experience at a strong startup or on a small team with substantial ownership.

Culture & Benefits

  • Small early-stage team with substantial influence over product and agent-platform direction.
  • Meaningful early equity ownership.
  • Health coverage with $0 employee premiums for individual medical coverage on most plans, plus dental and vision insurance.
  • 401(k) matching up to 4% of salary, unlimited PTO, commuter benefits, and a $100 monthly gym membership stipend.
  • Free office lunches and dinners and technology equipment of choice.

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