Staff Full-Stack Engineer - Agentic AI

You’ll own solutions across the full stack-from browser rendering and API design to backend services and AI integrations. As a Staff Engineer, you’ll remain hands-on while leading architectural decisions, improving production reliability, establishing technical standards, and mentoring other engineers., * Architect and build AI-powered data products using React, TypeScript, Node.js, and Ruby on Rails.

• Develop canvas-based interfaces for creating dashboards, reports, charts, and structured datasets.
• Build integrations that allow AI agents to discover, interpret, and operate on enterprise data.
• Improve computation and evaluation pipelines that run in both browser and server-side environments.
• Own features across frontend rendering, APIs, backend services, data workflows, and AI integrations.
• Improve production reliability through testing, monitoring, alerting, performance optimization, and incident response.
• Lead architectural decisions and technical investments that improve scalability and maintainability.
• Establish engineering standards and mentor developers through design reviews, code reviews, and hands-on collaboration.
• Partner with product, design, data, and AI teams to translate ambiguous requirements into production-ready solutions.
• Apply generative AI and agentic development tools to improve engineering workflows and product capabilities.

• 8+ years of professional software engineering experience, including technical leadership on complex production systems.
• Strong hands-on experience with React, TypeScript, and Node.js.
• Backend development experience with Ruby on Rails or a comparable server-side framework.
• Experience building complex, data-intensive web applications, such as dashboards, editors, visualization tools, or analytics platforms.
• Experience developing production AI-powered applications or integrating software products with LLMs, AI agents, or generative AI services.
• Strong API and system-design skills, with the ability to own features from browser rendering through backend services.
• Experience improving application performance across browser, API, and server-side processing layers.
• Strong testing practices and experience building reliable CI/CD and release workflows.
• Production-operations experience, including monitoring, alerting, incident response, and root-cause analysis.
• Staff-level experience leading architecture, writing design documents, mentoring engineers, and influencing technical decisions across teams.

Nice to have

• Experience building canvas-based editors, charting systems, dashboards, or advanced data-visualization interfaces.
• Experience with computation graphs or evaluation engines that operate across browser and server environments.
• Experience building platforms that make enterprise data accessible to AI agents.
• Experience with AI evaluation, prompt management, tool calling, structured outputs, or agent orchestration.

Engagement Model: Direct Independent Contractor (Please read carefully)

This is an independent contractor opportunity based on a direct contractual relationship between Zoolatech and the individual service provider.

To facilitate this direct partnership, we engage with professionals who are registered and operate as a sole proprietorship, private entrepreneur, or an equivalent self-employment status in your country.

Please note, our model does not accommodate contracts through third-party intermediaries such as agencies, incubators, or umbrella companies. The essential requirement is your ability to enter into a service agreement and invoice Zoolatech directly. This is not an offer of direct employment