Senior Software Engineer, AI Agent Platform

About the role

Motorola Solutions is hiring a Senior Software Engineer for its Hyper team, which builds conversational, agentic AI to reduce the burden on understaffed public safety answering points (PSAPs) by handling non-emergency calls. The engineer sets technical direction for the AI Agent Platform team behind Hyper's emergency response products and leads the architecture of the team's most critical systems.

Key responsibilities

• Lead the design and operation of real-time voice AI systems supporting human 911 telecommunicators at scale.
• Solve hard problems in the stack: low-latency audio, streaming, telephony, LLM orchestration and human-in-the-loop AI workflows.
• Drive engineering excellence across reliability, availability, security and performance, setting the team's standards.
• Partner with product, design and operations leadership to turn ambiguous problems into technical strategy.
• Mentor engineers through reviews, design feedback and pairing.
• Build and evolve evaluation, testing and observability frameworks for AI-assisted systems.
• Lead incident response and post-incident reviews, and own runbook quality and on-call health.
• Represent engineering with public safety customers, partners and Motorola Solutions stakeholders.

Required profile

• 10+ years of experience in real-time communication systems, with deep expertise in speech-to-text, text-to-speech, voice activity detection and production LLM, agentic or RAG systems.
• Production software engineering experience with a track record of technical leadership.
• Experience designing, shipping and operating large, complex systems in high-stakes domains.
• Comfortable across backend, infrastructure, AI pipelines and product surfaces, and able to turn ambiguous problems into clear technical plans.
• Strong product judgment, effective mentoring, and ability to thrive in a small, fast-moving team.

Required skills

• LLM, agentic or RAG systems, including evals and prompt test harnesses at scale.
• Speech-to-text, text-to-speech, voice activity detection, diarization, audio streaming and telephony (PSTN, SIP trunking, PBX, call routing).
• Real-time systems with WebRTC, WebSockets, RTP/SRTP and low-latency audio transport.
• Languages such as Elixir, Go, Python or Rust; PostgreSQL and cloud infrastructure on AWS, Azure or GCP.