Node.js AI Jobs

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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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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.

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As a Senior Staff Software Engineer, you will collaborate cross-functionally to architect, build, and verify features and critical infrastructure that underpin Ironclad's AI contract management platform. You will lead technical discussions, mentor engineers, and ensure the company's core platform runs reliably, securely, and at scale.

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You will develop rich, modern single-page applications using React and Node.js while collaborating with product and machine learning teams to create AI-powered self-service tools for customer support. Responsibilities include providing mentorship, conducting code reviews, leading technical projects, driving technology adoption, and ensuring accessibility and usability standards.

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Design, build, deploy, and maintain tools for robot and subassembly configuration, diagnosis, calibration, data management, and user interaction. Collaborate with cross-functional teams to develop scalable APIs and frameworks supporting mission-critical operations.

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The engineer will design, develop, and optimize ground control software for UAVs and autonomous platforms, focusing on low-latency communication, real-time control, and responsive UIs. They will lead development efforts, collaborate across teams, contribute to system architecture, and ensure delivery of high-quality, field-ready solutions.

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Product Engineers at Relevance AI lead the development of new features and improvements from discovery to launch, often building prototypes and production-grade code while integrating LLMs, APIs, and data sources. They work closely with customers, run experiments, iterate on feedback, and champion high standards for UX and performance throughout the platform.

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Design Engineers at Sana bridge design vision and technical implementation, creating polished user experiences. They maintain scalable systems, develop backend features, and collaborate closely with product design and engineering teams.