Junior Software Engineer, AI Agent Platform

About the Role Join the AI Agent Platform team behind Hyper’s emergency response products. You’ll help design and build real-time voice AI features for 911 workflows, and shape how AI agents assist telecommunicators while maintaining reliability, security, and product quality. Motorola Solutions announced the acquisition of Hyper on April 9, 2026. What You'll Do

• 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. What We're Looking For
• Curious about working across backend, infrastructure, AI, and product, even if you haven’t done it all yet.
• You use AI tools daily, but you do not confuse speed with quality.
• You care about quality — you write tests, read documentation, and try to understand a system before you change it.
• You take feedback well and act on it.
• You have strong product instincts and care about the humans using what you build.
• You thrive in a small, fast-moving team where you’ll have real ownership early — and you’re comfortable asking for help.
• You want to work on AI systems that matter beyond demos.
• Relevant Experience: 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. You do not need experience in all of these areas. Most successful candidates will have experience in a few and curiosity to learn the rest. Nice to Have
• Projects involving LLMs, AI agents, AI pipelines, RAG systems, evals, or prompt test harnesses.
• Speech processing, including Speech-to-Text, Text-to-Speech, Voice Activity Detection, endpointing, or audio streaming.
• Telephony/voice infrastructure, including PSTN, SIP trunking, PBX, call routing.
• Real-time communication systems using WebRTC, WebSockets, RTP/SRTP, or low-latency audio transport.
• Familiarity with PostgreSQL or relational data modeling. Experience with cloud infrastructure (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Internships or co-ops in software engineering, infrastructure, or AI/ML roles. Compensation & Benefits
• Salary not disclosed in this posting.