Digital Audio Specialist

Procedure is hiring for WorkHero.

WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. Small contractors are great at their trade but lose 20+ hours a week to invoicing, permits, scheduling, and paperwork. WorkHero combines expert office managers with automation and AI tooling, enabling a small team to take real ownership of that back-office work

We’re hiring a senior engineer to own our real-time voice stack end to end—AI agents operating on live phone calls—and the data platform that turns those calls into insight: call → transcript → events → warehouse → dashboards. You’ll own meaningful systems end to end alongside a small, senior team with deep experience in AI, product, and the trades.

What you’ll build

• New product screens and flows (jobs, customers, invoices, scheduling) in React and React Native, especially AI chat UI (chat & tool result rendering, streaming responses, human review and feedback loops)
• AI workflows in production: tool-using agents, RAG/search, classification/extraction, and human-in-the-loop flows
• Automations: Contribute new features and improvements to our AI-powered business automation platform

In addition, you’ll own our first investments into a realtime voice stack and the call-data platform behind it. For example:

• Realtime voice agents on live phone calls: telephony/WebRTC integration, streaming speech-to-text and text-to-speech, turn-taking, interruption handling, and latency optimization
• Voice pipeline reliability: backpressure, failover, graceful degradation, and monitoring for live calls
• Call-data pipeline: transcripts, events, and structured extraction flowing from every call into the warehouse
• Analytics & dashboards: data modeling and conversation-intelligence features on top of call data
• Evals & monitoring for voice agents: quality metrics, drift detection, and cost/latency tracking
• Cloud infrastructure: scaling our platform with infrastructure as code, queues and orchestration, and CI/CD

Responsibilities

• Analyze requirements and propose innovative AI-native solutions to technical problems
• Write clean scalable code
• Own the voice and data stack end-to-end: design, build, test, deploy, and operate
• Optimize the performance, latency, and cost of our real-time AI systems
• Respond to critical system issues and ensure continuous system reliability
• Mentor team members and collaborate across teams, especially with product and subject matter experts
• Work to understand the needs of our users and think creatively about how to solve design challenges in your work
• This is a Remote role. We expect a minimum 4 hours overlap with the WorkHero team (11 AM - 3 PM ET).

Qualifications

• Senior-level backend experience (typically 5+ years) shipping production systems that you've owned
• Hands-on experience with realtime voice or streaming systems: telephony (SIP/Twilio), WebRTC, streaming STT/TTS, or frameworks like LiveKit or Pipecat — or comparable experience with demanding realtime/streaming infrastructure
• Data engineering fundamentals: event pipelines, data modeling, warehousing, and analytics on production data
• Strong proficiency in a typed backend language (TypeScript preferred; comparable experience welcome)
• Hands-on experience with LLM-powered features (usage, prompting, optimization, etc) and AI architectures
• The ability to work with infrastructure as code (terraform), cloud, and CI/CD systems at scale. We're a small team, so we own the whole stack!
• Excitement to leverage AI coding tools to their maximum benefit. We love Claude Code and Cursor and are constantly looking for better ways to leverage our time to build fast and build for scale.

Nice to have

• experience with voice-AI platforms (Vapi, Retell, Bland, Deepgram, LiveKit) or conversation-intelligence products (e.g. Gong-style analytics)
• experience scaling cloud infrastructure, especially AWS, and how to get the most out of key AWS services
• experience with workflow automation tools like n8n or Lindy
• experience with React for building internal dashboards
• experience with HVAC or back-office business workflows

WorkHero is committed to building a diverse team. We encourage candidates from all backgrounds to apply.

About the Company

The client is revolutionising the way businesses operate through cutting-edge technological solutions. Their focus is on developing intelligent agents and agentic workflows that automate processes and eliminate the need for human effort wherever possible. By leveraging

advanced AI and machine learning, they create systems that enhance productivity and drive efficiency.

Their expertise extends to the fintech, healthcare and medical technology sectors, where they develop innovative solutions that improve patient outcomes and streamline medical operations.

From medical devices to healthcare platforms, their work sits at the intersection of technology and medicine, pushing the boundaries of what's possible. The team is dedicated to continuous learning and growth, ensuring the team members are always at the forefront of the tech landscape.

About the Role

This is a senior, hands-on engineering role at the heart of our product team. You will be one of the most technical people in the room — setting the architecture for our real-time voice AI

agents and building the hardest parts of it yourself. From the systems that power live conversations to the interfaces our clients rely on, you will own how the product is engineered end to end.

We are looking for a genuine lead full-stack engineer with the depth to make architecture decisions that hold up as we scale, and the appetite to still be in the code every day. You should be as comfortable designing the backend services behind a live voice agent as you are shaping a clean interface on top of them — and comfortable being the person others turn to when something is hard.

You will work directly with the founder and product leadership on a fast-moving product, with real influence over technical direction. This is a role for someone who wants ownership at the level of "how the whole thing is built," not just individual features — and who raises the bar for

everyone around them.

What You'll Own

Set the technical direction

• Own the architecture of our core systems — the real-time voice agents, backend
• services, data and APIs — making the decisions that keep the product fast, reliable and scalable as it grows.
• Lead the hardest engineering problems and solve them personally.
• Establish engineering standards — code quality, review practices, testing and technical patterns that the team builds to.
• Drive technical strategy with the founder and product leadership — shaping the roadmap, flagging risk early, and turning product ambition into a sound technical plan.

Build the product end to end

• Design, build and ship features across the stack — backend services, APIs and front-ends — owning them from idea to production.
• Build the client-facing surfaces — dashboards, review tools and configuration interfaces that let our clients run and trust the product.
• Design and evolve the data models and APIs that hold up as we scale across clients.

Make it reliable and fast

• Own production quality — put the monitoring and alerting in place so issues are caught before clients feel them, and performance stays within target.
• Care about performance — find and fix bottlenecks across the stack.
• Build for correctness — put the testing and evaluation in place that keeps the product behaving predictably as it changes.

Lead through the team

• Mentor and grow engineers — through code review, pairing, and setting a technical example others learn from.
• Multiply the team's output — unblock others and lift the overall quality of the codebase.
• Take features from ambiguity to done — turn a rough product goal into a shipped, working capability with minimal hand-holding, and help others do the same.

What We're Looking For

• 8+ years of professional software engineering experience, with significant depth across backend and a track record of owning systems, not just features.
• Strong backend engineering, ideally in Python — building and scaling production services and APIs..
• Proven architecture and system-design ability — you have designed systems that scaled, and can reason clearly about trade-offs.
• Solid fundamentals across APIs, databases and cloud infrastructure.
• Experience building real-time and/or AI-powered products — or clear, demonstrable ability to lead in this area.
• A history of technical leadership — setting standards, mentoring engineers, and being trusted with the hardest problems — while remaining hands-on.
• Excellent communication and a genuine ownership mindset — someone who can be handed an ambiguous, high-stakes problem and be trusted to see it through.

Nice to Have

• Experience working with AI / large language models in production.
• Experience with voice or other real-time products.
• Exposure to healthcare, fintech, or other regulated / high-stakes domains.
• Experience as an early or senior engineer in a startup, where you set direction and wore many hats.