JavaScript AI Jobs

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Design and own the semantic layer that powers the system-of-record flywheel, enabling compounding AI products across teams. Build primitives, abstractions, and APIs for product teams to use as building blocks, ensuring ease of use for shipping AI-driven features. Partner closely with internal product and engineering teams to understand needs, eliminate friction, and design intuitive, well-documented systems that are hard to misuse. Architect systems that span data warehouses, OLTP databases, streaming systems, and vector stores, making tradeoffs based on latency, throughput, consistency, and access patterns. Work with leadership to define the long-term platform architecture, including build-vs-buy decisions, evolving the semantic layer, and scaling the system as product surface area grows.

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Ship critical infrastructure managing real-world logistics and financial data for large enterprises. Own the why by building deep context through customer calls and understanding Loop's value to customers, pushing back on requirements if better solutions exist. Work full-stack across system boundaries including frontend UX, LLM agents, database schema, and event infrastructures. Leverage AI tools to handle routine tasks enabling focus on quality, architecture, and product taste. Constantly optimize development loops, refactor legacy patterns, automate workflows, and fix broken processes to raise velocity.

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Ship critical infrastructure by managing real-world logistics and financial data for the largest enterprise in the world. Own the why by building deep context through customer calls and understanding Loop’s value to customers, pushing back on requirements if there is a better, faster way to solve problems. Work with full-stack proficiency across system boundaries, from frontend UX to LLM agents, database schema, and event infrastructures. Leverage AI tools to handle the boilerplate work so focus can be on quality, architecture, and product taste. Constantly optimize development loops, refactor legacy patterns, automate workflows, and fix broken processes to raise the velocity bar.

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Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on enablement sessions to help engineering organizations adopt AI coding tools effectively and safely. Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to assist the broader developer community with Codex. Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams. Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows. Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

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Own and lead the technical direction of Harvey in Word, the flagship Office Add-in product, alongside other Microsoft Office integrations. Build the AI-native editing experience, including agentic document rewrites, real-time redlining, and playbook automation for lawyers. Design and implement sophisticated integrations with Microsoft Word using the OfficeJS API, involving document manipulation, playbook reviews, and AI-assisted drafting. Architect scalable, maintainable solutions that address constraints and quirks of the Office Add-in environment across platforms including Windows, Mac, and Web. Build polished, high-performance interfaces with crisp user interactions and resilient error handling. Collaborate with product, design, and backend teams to shape APIs and user experience for AI-powered features like streaming results and tool-calling workflows. Manage Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad and reliable support. Contribute to Harvey in Outlook and help develop the next generation of agentic AI interfaces across the Microsoft suite. Mentor engineers, drive technical decisions, and improve quality and developer experience.

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Own and lead the technical direction of Harvey in Word, the flagship Office Add-in product, alongside other Microsoft Office integrations. Build the AI-native editing experience including agentic document rewrites, real-time redlining, and playbook automation to transform how lawyers work. Design and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted drafting. Architect scalable, maintainable solutions that address the constraints of the Office Add-in environment across Windows, Mac, and Web platforms. Build polished, high-performance interfaces with crisp interactions and resilient error handling. Collaborate with product, design, and backend teams to shape APIs and user experience for AI-powered features like streaming results and tool-calling workflows. Navigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable support. Contribute to Harvey in Outlook and help shape the next generation of agentic AI interfaces across the Microsoft suite. Mentor engineers, drive technical decisions, and raise the quality and developer experience standards.

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Own and lead the technical direction of Harvey in Word, the flagship Office Add-in product, alongside other Microsoft Office integrations. Build the AI-native editing experience including agentic document rewrites, real-time redlining, and playbook automation to transform how lawyers work. Design and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted drafting. Architect scalable and maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web). Build polished, high-performance interfaces with crisp interactions and resilient error handling. Collaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflows. Navigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable support. Contribute to Harvey in Outlook and help shape the next generation of agentic AI interfaces across the Microsoft suite. Mentor engineers, drive technical decisions, and raise the bar on quality and developer experience.

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The AI Deployment Engineer serves as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy Generative AI solutions. They engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in customers' roadmaps. The role accelerates customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. The engineer maintains strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. They contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers. The engineer shares learnings and collaborates with internal teams to inform product development and improve customer outcomes. Additionally, they codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

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As an AI Deployment Engineer, you will serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy Generative AI (GenAI) solutions. You will engage with senior business and technical stakeholders to identify, prioritize, and validate high-value GenAI applications in their roadmap. Your role includes accelerating customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. You will maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Additionally, you will contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers, share learnings, collaborate with internal teams to inform product development and improve customer outcomes, and codify knowledge to help the Solutions Architecture team scale impact across industries and customer types.

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The AI Deployment Engineer is responsible for serving as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy Generative AI solutions. They engage with senior business and technical stakeholders to identify, prioritize, and validate high-value GenAI applications in the customers' roadmaps. The role involves accelerating customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production. The engineer maintains strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. They contribute to open-source resources and enterprise-facing technical documentation to scale best practices, share learnings, and collaborate with internal teams to inform product development and improve customer outcomes. Additionally, they codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.