TypeScript AI Jobs

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The Evaluation Engineer will own the technical foundation of the auto-evaluation systems by building a comprehensive system that runs fast, is easy to use, and supports quickly building new evaluations. Responsibilities include improving the speed of the basic evals infrastructure with minimal latency, designing interfaces suitable for ML engineers, product managers, and customers, and ensuring the system architecture allows team members to easily add examples and run evaluations. The role also involves ensuring evaluations are accurate and reliable by encoding knowledge about how pharma customers make decisions, providing appropriate statistical tests, and confidence intervals for trustworthy results. Additionally, the engineer is expected to spend most time on the core eval platform, collaborate with the evals team on specific evals, mentor an evals engineering intern, and learn how users interact with the evaluation system to improve it.

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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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As an AI Product Intern at Brain Co., you will work closely with engineers, researchers, and product leaders to help design, build, and deploy AI-powered software solving real-world problems. Responsibilities include supporting the design and development of AI-powered features across front-end, back-end, and data workflows, prototyping and shipping internal tools and customer-facing applications using modern web technologies, translating customer problems into clear product requirements in collaboration with product managers and engineers, partnering with engineers, researchers, and operators to test, iterate, and improve AI-driven workflows, participating in design discussions, sprint planning, and code reviews, assisting with improving performance, reliability, and usability of deployed applications, analyzing data, evaluating AI outputs, and iterating based on real customer feedback, and contributing to projects modernizing government workflows, improving healthcare outcomes, or optimizing critical infrastructure with work deployed and used by real users.

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As a Client Operations Engineer, you will design and build custom solutions including AI-powered workflows and full-stack applications by leveraging your technical SEO, marketing expertise, and technical skills. You will occasionally interface directly with clients and work closely with internal teams to translate client requirements into technical solutions that drive measurable growth. Your responsibilities span the entire development lifecycle such as conceptualization, architecture, implementation, testing, and deployment. Besides client projects, you will contribute to the internal ecosystem by developing tools for the marketing team and creating micro-applications on the AI stack. Your day-to-day work may include updating websites and micro-apps, developing client-specific applications, configuring LLMs to power new AI workflows, and building internal tools to streamline operations, applying your growth optimization expertise.

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Build tools for the full Physical AI data stack including data acquisition, ingestion, curation at scale, 3D rendering, annotation, and verification. Solve problems related to large scale efficient data transfer and storage, complex domain modeling, applying machine learning models, and optimizing performance in web browsers. Render complex 3D scenes with thousands of objects while maintaining smooth frame rates. Work autonomously on technical and product challenges, delivering performant, reliable, and maintainable solutions. Take end-to-end ownership of projects from product and design decisions through deployment, monitoring, and measuring impact on users. Work collaboratively in a small team environment and contribute to solving complex domains and scale with simple solutions.

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As a Senior Full-Stack Engineer at Encord, you will work on building tools for the complete Physical AI data stack, which includes data acquisition, ingestion, curation at scale, 3D rendering, annotation, and verification. You will solve problems related to large scale efficient data transfer and storage, complex domain modeling, applying machine learning models, and optimizing performance in web browsers. You will handle challenging front-end tasks such as rendering complex 3D scenes with thousands of objects while maintaining smooth frame rates. You will operate with a high degree of autonomy, crafting performant, reliable, and maintainable solutions to both technical and product challenges. You will have end-to-end ownership of your projects, from product design and architectural decisions to deployment, monitoring, and measuring impact on users, covering the full stack including deployment and styling. You will work closely in a small, highly collaborative team, often working autonomously to drive your projects forward while also collaborating and supporting your teammates. Your work will have a direct and tangible impact on customers and the company’s trajectory.

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Design and develop robust, scalable, and secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation. Build and optimize high-performance, low-latency APIs and microservices for integrating advanced AI models and agentic workflows into the platform. Collaborate closely with product managers, data scientists, and cross-functional engineering teams to translate complex business needs into innovative AI solutions, from concept to production. Implement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences. Partner with DevOps teams to build continuous deployment, logging, and monitoring systems, ensuring top-tier performance and reliability. Own key architectural components, ensuring best practices in code quality, security, and maintainability through rigorous testing and peer reviews.

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Design and develop robust, scalable, and secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation. Build and optimize high-performance, low-latency APIs and microservices for integrating advanced AI models and agentic workflows into the platform. Collaborate closely with product managers, data scientists, and cross-functional engineering teams to translate complex business needs into innovative AI solutions, from concept to production. Implement and maintain responsive user interfaces primarily focused on backend enablement though some frontend interaction is expected using technologies like React and TypeScript to deliver intuitive user experiences. Partner with DevOps teams to build continuous deployment, logging, and monitoring systems ensuring top-tier performance and reliability. Own key architectural components, ensuring best practices in code quality, security, and maintainability through rigorous testing and peer reviews.