Node.js AI Jobs

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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 we build by influencing engineering standards, architecture, and processes as we scale. 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 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 how the engineering team builds by influencing engineering standards, architecture, and processes as the team 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 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 how engineering standards, architecture, and processes are built and scaled. 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 engineering standards, architecture, and processes as the team 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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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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As a Forward Deployed Engineer, you will partner directly with customers to understand their biggest challenges and rapidly design, implement, and integrate technical solutions that drive real impact. You will leverage engineering expertise to design scalable AI workflows for clinical and operational use cases, producing professional-grade systems and data-flow diagrams defining interfaces, failure modes, and integration points with EHRs and legacy systems. You will build and deploy Large Language Model (LLM) powered workflows, applying advanced prompting strategies, building agentic workflows, and tuning vector stores for quality, latency, and cost. You will perform technical validation of AI algorithm outputs and ensure strict adherence to HIPAA/SOC 2 controls, establishing guardrails such as audit trails and least-privilege access for safe clinical deployment. You will independently manage technical implementation plans, defining scope and setting expectations with customers, driving prototypes into production and facilitating the transition to steady-state ownership alongside Customer Success teams. You will serve as the technical voice in customer meetings, translating complex platform capabilities into clear value propositions for executives and non-technical stakeholders. Additionally, you will provide input to internal cross-functional teams on platform gaps to help widen competitive advantage.

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Build intelligent systems end-to-end, integrating powerful ML models with backend and frontend product experiences. Take ownership across the whole stack, working closely with a small technical team to ship full-stack features and shape foundational architecture.

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You will build and ship intelligent, end-to-end product features powered by machine learning models, working across the stack from backend integrations to user-facing frontends. The role involves collaborating with a small senior team, owning technical decisions, and shaping the core engineering foundation of a new global AI application.