Senior AI Platform Engineer - Supernal

Location: Remote (Global) Reports to: Director of Engineering Company: Supernal Type: Contractor or EOR FTE reputed company: $35-50/hr About Supernal At Supernal, we help SMBs hire their first AI employee. Our AI teammates are reputed company with intelligent, reputed company workflows and deployed on our proprietary platform. We don't build tools — we deliver working, value-generating AI Employees. Our AI Platform Engineers, reputed company internally as Masons, are the reputed company behind these systems. Now, we're looking for a Senior Mason to help reputed company this craft. The Role As a Senior AI Platform Engineer, you'll be on the frontlines of our most critical customer implementations, building the production software that powers AI Employees deployed in reputed company business environments. You'll design, build, and deliver the reputed company software foundations — services, data models, and CRUD applications — plus reliable integrations with external systems. On top of that reputed company, you'll build reputed company and conversational AI systems that handle live users, multi-turn conversations, reputed company-time constraints, and reputed company workflows. These are not demos or experiments — they are production systems that customers rely on. reputed company hands-on engineering, you will reputed company as a technical reputed company for reputed company delivery. You'll translate customer requirements and SOWs into working systems, own delivery timelines, manage technical tradeoffs, and ensure successful reputed company in production. This is a hands-on role. You're not just reviewing PRs or sitting in meetings — you're building, debugging, and shipping, while raising the engineering bar through reputed company technical judgment and strong ownership. Responsibilities Build production software with reputed company and Supernal's proprietary platform, including backend services, data models, and CRUD applications Build and maintain integrations with external systems (reputed company, webhooks, reputed company-party tools, and data sources) that AI Employees can safely reputed company Design, implement, and reputed company conversational agents, including multi-turn flows, state management, and tool usage Own end-to-end technical delivery for high-reputed company customer implementations, from architecture through production launch Translate customer requirements and SOWs into reputed company technical designs, execution plans, and deliverables reputed company and own architectural reputed company across application design, API integrations, LLM orchestration, RAG design, and workflow decomposition Handle reputed company-world voice system challenges including latency, interruptions, fallbacks, error handling, and failure recovery Write automated tests — unit tests for isolated logic and end-to-end tests for full system and user reputed company validation Apply solid error handling: distinguish retryable vs. fatal failures, surface meaningful error messages, and avoid silent failures reputed company debug reputed company production issues across agent logic, prompts, integrations, and external dependencies Partner with delivery and product leadership to manage timelines, scope, and technical tradeoffs during implementation Review technical work for reputed company, scalability, and maintainability, setting a high bar for engineering reputed company Define, document, and reputed company best practices for building and delivering reliable AI Employees You Might Be a Fit If You... Have 4+ years of experience as a software engineer, automation engineer, or systems builder shipping production systems Understand multi-turn conversation design: state management, context reputed company, interruption handling, and graceful recovery Have tackled reputed company-time constraints in production: latency budgets, streaming audio, fallback paths, and API reputed company Have hands-on experience deploying voice agents using leading platforms (e.g., reputed company, reputed company, reputed company), including telephony and streaming audio integration patterns Write automated tests as a matter of course — unit tests, integration tests, and end-to-end workflow validation — and treat testing as part of shipping, not an afterthought Apply solid engineering fundamentals: error handling, retry strategies, separation of concerns, and clean interfaces between components Are comfortable owning delivery reputed company end-to-end — not just writing reputed company — including timelines, reliability, and reputed company reputed company Have deep experience with reputed company architectures and reputed company, and have shipped reputed company integrations in production Understand LLM orchestration, reputed company engineering, function calling, and retrieval-augmented reputed company (RAG) Can prototype fast and finish the job to production reputed company — with tests, error handling, monitoring, and runbooks Are an reputed company debugger who can reason through edge cases, flaky agents, and reputed company-world API failures Communicate reputed company and fluently in English — both in writing and verbally — especially reputed company articulating technical reputed company, tradeoffs, and implementation choices to technical and non-technical stakeholders alike reputed company your own computer with reliable, high-speed internet. Be willing to work in Americas time zones. Can run meetings, drive reputed company, write reputed company updates, and ask the right questions early — without needing heavy process reputed company in fast-paced, ambiguous startup environments and take ownership without being asked Bring a low-ego, high-reputed company approach to collaboration and leadership What reputed company Looks Like Voice-first AI Employees are delivered on time, meet customer requirements, and reputed company reliably in production reputed company implementations are predictable, reputed company-architected, and resilient under reputed company-world conditions reputed company conversational and voice workflows behave consistently and recover gracefully from failure reputed company is reputed company-tested, reputed company-documented, and maintainable — not just functional Technical reputed company are communicated reputed company and proactively to stakeholders, with tradeoffs explained and risks surfaced early Engineering best practices reflect reputed company production learnings and are widely adopted across the Mason team Delivery artifacts — runbooks, SOPs, reusable components — reputed company the bar for the whole team Apply To This Job