Node.js AI Jobs

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Build and scale reinforcement learning environments and platforms behind them; drive architecture for scalable, reliable, extensible environment systems and data generation pipelines; partner with Research, Product, and Ops teams to turn ambiguous needs into production systems; build modular, plug-and-play domains that integrate cleanly with training and evaluation loops; improve reliability, observability, performance, and data quality of systems.

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Design, build, and operate scalable back-end systems that power real-time, AI-driven chat experiences. Own mission-critical services and infrastructure, delivering impactful features from ideation through to production. Push the boundaries of applied AI by enabling new agent capabilities, workflows, and system behaviours. Shape engineering standards, architecture, and processes as the company scales. Mentor and support engineers across the team, raising the bar for technical quality and ownership. Set and uphold high standards for code quality, performance, reliability, and security. Collaborate closely with product, design, and leadership to align technical direction with business outcomes.

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Design, build, and operate scalable back-end systems that power AI agent and workflow builders. Own mission-critical services and infrastructure, delivering impactful features from ideation through to production. Push the boundaries of applied AI by enabling new agent capabilities, workflow orchestration, and system behaviours. Shape how the engineering team builds by influencing engineering standards, architecture, and processes as the company scales. Mentor and support engineers across the team to raise the bar for technical quality and ownership. Set and uphold high standards for code quality, performance, reliability, and security. Collaborate closely with product, design, and leadership teams to align technical direction with business outcomes.

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Design and build AI agents and AI-enhanced features iteratively that help customers debug, fix, and create Playwright and API tests faster. Implement solutions full stack with your team. Get in touch with users to learn from their feedback directly to build solutions that are delightful and solve real problems.

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Lead the deployment, performance, and reliability of AI agents operating in live, high-stakes healthcare environments. Architect and scale full-stack systems integrating with EHRs, legacy healthcare platforms, and real-time voice infrastructure. Drive technical strategy for customer-facing solutions, collaborating with product and engineering to translate client needs into scalable architecture. Mentor engineers and set standards for code quality, testing, security, and HIPAA-compliant development. Shape product roadmap by identifying systemic challenges in customer workflows and proposing high-leverage technical solutions.

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As a Senior AI Engineer, you will drive intelligent features that redefine how users build automations by building AI-powered capabilities such as natural language input and smart suggestions to make creating workflows faster and more intuitive. You will collaborate across engineering, product, and design to integrate generative AI and LLM-based enhancements into the core user experience, improve existing AI integrations, develop new ones, and shape how AI powers the product. Responsibilities include architecting and implementing AI-powered capabilities like code generation, intelligent node creation, and workflow optimization; integrating LLM APIs and embedding models for text-to-workflow and natural language code suggestions; designing and iterating on prompts to improve model output and user experience; building internal tooling, evaluation benchmarks, and automated testing for AI components; collaborating closely with other engineers to ensure AI features are reliable, performant, and scalable; balancing experimentation with impact by shipping quickly with a focus on user value; and staying current with advances in LLMs, prompt frameworks, and developer tools to inform the product roadmap.

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Lead a team of engineers by helping them prioritize for impact, grow in their careers, and perform their best work. Own strategy, roadmap, and execution in close collaboration with product and design partners to decide on what to build and ensure delivery. Drive growth metrics such as activation rates, signups from integrations, and developer adoption by measuring and analyzing results. Ship products quickly and iterate by running experiments, learning from failures, and doubling down on successes. Build AI developer tools including MCP integrations and agentic builders, as well as platform integrations connecting Sanity to tools like Google Drive, Dropbox, and analytics platforms. Set technical direction and guide architecture decisions balancing velocity with maintainability across TypeScript, React, Node.js, and Go microservices. Collaborate with engineering leadership, marketing, and partnerships to align on shared growth metrics and goals.

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Own the technical architecture including backend, frontend, infrastructure, and AI integration. Write code daily to build critical systems. Make stack and design decisions shaping the product for years. Set standards for code quality, testing, and engineering discipline. Integrate large language models (LLMs) and AI workflows into the platform. Work directly with founders on product direction and the technical roadmap. Create clarity and structure in an environment lacking perfect specifications. Mentor and guide other developers technically.

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Product Engineers at Greenlite own features end-to-end, from conception to production, designing scalable systems for compliance automation. They develop intuitive user interfaces, build document analysis tools, and coordinate AI and human workflows.

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Design, build, and support cloud-native applications, services, and APIs to scale AI-powered healthcare documentation products. Collaborate across engineering, product, and ML teams, and contribute to new foundational data and processing capabilities.