Sr Software Engineer, AI Agent Platform

Job title: Sr Software Engineer, AI Agent Platform

About the Role Senior software engineer to set technical direction for the AI Agent Platform team behind Hyper’s emergency response products. You'll lead architecture, long-term strategy, mentor engineers, and own cross-cutting problems—from real-time AI pipelines and telephony to backend infrastructure and product surfaces. While AI agents will be used, humans own quality and what ships.

What You'll Do

• 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 stakeholders when deep technical credibility is required.

What We're Looking For

• Production software engineering experience, with a clear track record of technical leadership.
• You’ve designed, shipped, and operated large, complex systems in high-stakes domains.
• You are comfortable working across backend, infrastructure, AI pipelines, and product surfaces.
• You can turn ambiguous product or operational problems into clear technical plans for the team.
• You use AI tools daily, but you set the standard for how your team uses them responsibly — speed without compromising quality.
• You raise the engineering bar around tests, observability, code review, security, and clean abstractions.
• You mentor effectively. Engineers around you get better because of how you work.
• You have strong product judgment and care deeply about the humans using what you build.
• You thrive in a small, fast-moving team with high ownership and low ego, and you can scale that culture as we grow.
• You want to work on AI systems that matter beyond demos.

Relevant Experience

• Architecting LLM, agentic, or RAG systems in production, including evals and prompt test harnesses at scale.
• 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.

Nice to Have

• Architecting LLM, agentic, or RAG systems in production, including evals and prompt test harnesses at scale.
• 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.
• 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.