Junior Software Engineer, AI Agent Platform

Motorola Solutions•Ontario,Canada Offsite, ON

1d•Remote

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 Software Engineer to join the AI Agent Platform team behind Hyper’s emergency response products. You’ll work alongside experienced engineers across real-time AI pipelines, telephony, backend infrastructure, and product surfaces. You’ll help influence architecture, build core product features, and shape how our team uses AI agents to move faster without compromising reliability, security, or product quality. We encourage engineers to use AI agents in their own work. But because this is mission-critical software, humans still own quality, judgment, and what ships.

Requirements

Bachelor's degree
Experience with LLMs, AI agents, AI pipelines, RAG systems, evals, or prompt test harnesses.

Nice To Haves

Projects involving LLMs, AI agents, AI pipelines, RAG systems, evals, or prompt test harnesses.
Speech-to-Text, Text-to-Speech, Voice Activity Detection, endpointing, interruption handling, noise filtering, diarization, or audio streaming.
Telephony and voice infrastructure, including PSTN, SIP trunking, PBX, and call routing.
Real-time communication systems using WebRTC, WebSockets, RTP/SRTP, media streaming, or low-latency audio transport.
Programming in Elixir, Go, Python, Rust, or similar languages.
Familiarity with PostgreSQL or relational data modeling.
Exposure to cloud infrastructure on AWS, Azure, or GCP
Docker, Kubernetes, or similar deployment environments.
Internships or co-ops in software engineering, infrastructure, or AI/ML roles.

Responsibilities

Build real-time voice AI features for emergency response workflows.
Design and operate LLM-powered systems that support human 911 telecommunicators.
Own features across the stack, from backend services and AI pipelines to frontend interfaces and internal tools.
Work on low-latency audio processing, streaming systems, telephony integrations, and human-in-the-loop AI workflows.
Help integrate speech models, LLMs, and emerging AI technologies into production systems.
Build strong habits around tests, code review, observability, and security from day one.
Help write and improve evaluation, testing, and observability for AI-assisted systems.
Participate in on-call responsibilities (with support and shadow rotations to start), backed by clear runbooks and blameless post-incident reviews.
Ask questions, dig into how things work, and bring fresh perspectives to the team.