Sr Software Engineer, AI Agent Platform

Motorola Solutions

About The Position

Hyper, a Motorola Solutions Company, is a leader in conversational, agentic AI designed to reduce the burden on understaffed public safety answering points (PSAPs) by handling non-emergency calls. It is revolutionizing emergency response systems through cutting-edge AI technologies. Our first product is reducing 911 wait times by alleviating administrative work from highly trained 911 telecommunicators. We’re looking for a Sr Software Engineer to set technical direction for the AI Agent Platform team behind Hyper’s emergency response products. You’ll be a senior technical leader responsible for the architecture of our most critical systems. You’ll shape long-term technical strategy, mentor engineers across the team, and own the toughest cross-cutting problems — from real-time AI pipelines and telephony to backend infrastructure and product surfaces. We expect engineers to use AI agents in their own work. But because this is mission-critical software, humans still own quality, judgment, and what ships — and as a Sr Engineer, you set the bar for what “good” looks like.

Requirements

Production software engineering experience, with a clear track record of technical leadership.
Designed, shipped, and operated large, complex systems in high-stakes domains.
Comfortable working across backend, infrastructure, AI pipelines, and product surfaces.
Ability to turn ambiguous product or operational problems into clear technical plans for the team.
Use AI tools daily, but set the standard for how your team uses them responsibly — speed without compromising quality.
Raise the engineering bar around tests, observability, code review, security, and clean abstractions.
Effective mentorship skills; engineers around you get better because of how you work.
Strong product judgment and care deeply about the humans using what you build.
Thrive in a small, fast-moving team with high ownership and low ego, and can scale that culture as we grow.
Desire to work on AI systems that matter beyond demos.
10+ years of experience in Realtime communication systems with deep expertise in Speech-to-Text, Text-to-Speech, Voice Activity Detection and architecting LLM, agentic, or RAG systems in production, including evals and prompt test harnesses at scale.

Nice To Haves

Deep expertise in Speech-to-Text, Text-to-Speech, Voice Activity Detection, endpointing, interruption handling, noise filtering, diarization, or audio streaming.
Telephony and voice infrastructure: PSTN, SIP trunking, PBX, and call routing.
Real-time communication systems using WebRTC, WebSockets, RTP/SRTP, media streaming, or low-latency audio transport — including operating these systems under production load.
Real-time, concurrent, or distributed systems using Elixir, Go, Python, Rust or similar languages.
PostgreSQL and strong data modeling fundamentals at scale.
Cloud infrastructure on AWS, Azure, or GCP.
Containerized application environments operated in production.
Technical leadership in public safety, govtech, healthcare, defense, infrastructure, fintech, or other high-trust domains.

Responsibilities

Lead the design and operation of real-time voice AI systems that support human 911 telecommunicators at scale.
Identify and solve the hardest problems in our stack: low-latency audio, streaming, telephony, LLM orchestration, and human-in-the-loop AI workflows.
Drive engineering excellence across reliability, availability, security, and performance — defining the standards the team operates by.
Partner with product, design, and operations leadership to translate ambiguous customer and operational problems into technical strategy.
Mentor engineers; raise the floor and the ceiling of the team’s technical work 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; own runbook quality and on-call health for the systems the team is responsible for.
Represent engineering in conversations with public safety customers, partners, and Motorola Solutions stakeholders when deep technical credibility is required.