Senior AI Agent Platform Engineer - Real-Time Voice

Motorola Solutions

Salt Lake City (UT)

On-site

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Motorola Solutions, a global leader in mission-critical technology, seeks a Sr Software Engineer to set technical direction for the AI Agent Platform behind Hyper's emergency response products. You will own the architecture of real-time voice AI pipelines, telephony, and backend infrastructure, influencing long-term technical strategy.

You'll mentor engineers, drive reliability, security, and performance, and partner with product, design, and operations to translate ambiguous customer problems

Qualifications

  • Production-grade software engineering with leadership experience.
  • Designed and operated large, complex systems in high-stakes domains.
  • Experience across backend, infrastructure, AI pipelines, and product surfaces.

Responsibilities

  • Lead the design and operation of real-time voice AI systems at scale.
  • Address hardest problems: low-latency audio, streaming, telephony, LLM orchestration, human-in-the-loop workflows.
  • Drive reliability, security, and performance standards across the stack.
  • Mentor engineers and provide design feedback to raise the team's bar.
  • Lead incident response and post-incident reviews for critical systems.
  • Represent engineering in conversations with customers and stakeholders.

Skills

Technical leadership
Architectural design
Real-time AI pipelines
Telephony systems
Mentoring
Product collaboration

Tools

WebRTC
SIP trunking
RTP/SRTP

Job description

Motorola Solutions, a global leader in mission-critical technology, seeks a Sr Software Engineer to set technical direction for the AI Agent Platform behind Hyper's emergency response products. You will own the architecture of real-time voice AI pipelines, telephony, and backend infrastructure, influencing long-term technical strategy.

You'll mentor engineers, drive reliability, security, and performance, and partner with product, design, and operations to translate ambiguous customer problems

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