Full Stack Software Engineer — AI & Automation
Utility Profit
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About Utility Profit Utility Profit is transforming utility setup for property managers and tenants. Our utility and telecom services platform simplifies move-ins, helps residents get connected, and creates additional revenue for property managers. We are already trusted by tens of thousands of homes and backed by top-tier investors. We are building toward a world where setting up utilities takes far less effort—from finding the right provider to completing the setup. That means combining useful software, reliable integrations, and AI-powered automation to solve real operational problems. Role Overview We’re looking for a mid-to-senior Full Stack Software Engineer who can take a customer or operational problem from an early idea to a reliable production feature. You’ll work across React interfaces, TypeScript and Node.js services, databases, and the automation that connects our platform to utility providers. AI is central to both how we build and what we build. Our team uses coding agents and frontier models from OpenAI, Anthropic, and other providers for research, implementation, debugging, and review. We experiment with new models and tools, compare their results, and keep what improves real outcomes. You’ll be expected to work fluently with these tools while owning the architecture, understanding the code, and verifying the result. The work spans customer-facing applications, partner and operations tools, provider integrations, and AI-assisted workflows. Recent examples include turning recorded browser sessions into automation, helping engineers investigate recurring automation failures, and building the APIs and dashboards that make those systems observable and usable. What We Offer Fully remote: open to candidates worldwide, with a strong preference for candidates based in Mexico or the United States because of team collaboration and time-zone overlap. Competitive salary paid in USD. High ownership and autonomy in a small, product-focused engineering team. Hands-on work with frontier AI models, coding agents, and real-world automation challenges. Direct collaboration with product, design, QA, and operations, with visible impact on customers and the business. Room to grow through meaningful technical ownership as the platform evolves. No formal educational degree required—we value your skills, judgment, and demonstrated work. Key Responsibilities Own features end to end: clarify the problem and success criteria, propose a practical design, implement it, test it, deploy it, and follow its behavior in production. Build clear, responsive React experiences and dependable TypeScript/Node.js APIs, services, and integrations. Think through permissions, validation, loading states, errors, and recovery across the complete user journey. Use AI coding agents as part of your daily workflow. Give them useful context, break work into reviewable pieces, challenge their assumptions, and inspect and simplify the code they produce. Build and improve AI-assisted workflows, model integrations, and browser or API automation. Evaluate behavior against representative cases, account for cost and latency, and provide dependable fallbacks when a model or external service fails. Design data models, queries, migrations, and background jobs with attention to correctness, concurrency, retries, and avoiding duplicate actions. Extend existing systems thoughtfully. Reuse established patterns, maintain clear boundaries, and coordinate changes across applications and repositories without breaking shared contracts. Write meaningful automated tests and review teammates’ work. Demonstrate the feature in a working environment before QA, resolve findings, and verify the full flow after fixes. Investigate production issues using logs, traces, metrics, and data. Improve monitoring and documentation so the team can understand and operate what you ship. Work closely with product and operations to challenge unclear requirements, identify downstream effects, and…
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