1,078 Typescript jobs available for remote work from home. Apply for positions such as Junior Fullstack Engineer (m/w/d) TS, React, Next.js & AI 100% Remote, FDE AI/ Solutions Architect (AI, Python/Data), FDE AI/ Solutions Architect (AI, Python/Data), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will develop end-to-end features using React, Next.js, and Node.js while integrating AI-driven functionalities like document analysis and agentic workflows. Additionally, you will ensure platform scalability for a growing user base and contribute to architectural decisions and engineering standards.
You will embed with clients to identify business problems, design and ship production-grade GenAI and agentic solutions, and manage the full delivery lifecycle. You will work alongside a Forward Deployed Executive to drive measurable business outcomes and ensure successful system adoption.
You will embed with clients to design, build, and deploy production-grade GenAI and agentic solutions that drive measurable business outcomes. You are responsible for the entire delivery lifecycle, from mapping workflows and technical architecture to mentoring engineers and ensuring successful system adoption.
You will build and deploy production-grade GenAI and agentic systems within customer environments using cloud-native architectures. Additionally, you will implement LLMOps practices, conduct model evaluations, and mentor junior engineers while contributing to internal AI blueprints.
You will embed within client operations to understand business processes from the inside before rebuilding them using bespoke GenAI and agentic systems. You are responsible for shipping production-grade software and driving measurable business outcomes alongside client stakeholders.
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You will build and deploy production-grade GenAI and agentic systems while optimizing RAG pipelines and model performance. Additionally, you will mentor junior engineers and contribute to architectural decisions and reusable blueprints.
Develop accessible, workflow-driven web applications using JavaScript and TypeScript to support enterprise data platform initiatives. Collaborate with cross-functional teams to integrate frontend applications with backend APIs and ensure compliance with federal accessibility standards.
You will own the end-to-end lifecycle of the vault operations, building and maintaining the software that manages ingest, processing, routing, and outtake. You are expected to systematically identify and eliminate bottlenecks by writing durable code and instrumenting data to improve time-to-liquidity.
The engineer will own complex production and customer-impacting issues while building and improving the cloud-based platform end-to-end. Responsibilities include triaging incidents, performing root-cause analysis, and developing durable code fixes across web applications, APIs, and databases.
You will own the end-to-end delivery of features for the stablecoin payment rail, including backend Go services and React-based merchant checkout experiences. You will also implement fault-tolerant payment workflows and collaborate with cross-functional teams to integrate these solutions into the broader developer platform.
The engineer will build and maintain customer-facing frontend features using React while supporting legacy Vue 2 applications. They will collaborate with backend teams to integrate APIs and ensure high-quality, reliable user experiences.
You will lead the Corporate Development team in building AI-powered internal tools, automations, and full-stack applications while managing the company's data warehouse. Additionally, you will act as a technical mentor and internal evangelist to drive AI adoption and operational efficiency across the organization.
You will design, deploy, and optimize multi-agent workflows using Google's GECX platform and custom code tools. This involves writing backend logic, managing agent hierarchies, and automating quality testing for customer-facing AI solutions.
Design and execute automated testing strategies for AI-native applications while building and maintaining API and UI automation suites. Collaborate with engineering teams to validate AI-powered workflows and promote quality standards throughout the development lifecycle.
The Forward Deployed Engineer will embed with operating companies to map workflows, build custom integrations, and deploy the Cassi platform. They will own the end-to-end deployment process, including writing bespoke code and providing critical product feedback to the core engineering team.
You will serve as the sole technical leader for a B2B SaaS platform, owning the entire codebase, architecture, and product roadmap. Your role involves driving technical strategy, implementing AI-driven workflows, and ensuring operational excellence through automation and robust engineering practices.
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You will own the end-to-end technical delivery of major features, from data modeling and API design to frontend implementation. You will collaborate closely with product managers and designers to build high-quality, data-dense interfaces while mentoring team members and leveraging AI tools to increase development speed.
You will build and maintain full-stack software systems for Medicare and Medicaid products to improve government benefit delivery. This involves collaborating with product and design teams to develop scalable, user-centric experiences across frontend and backend systems.
You will handle escalated technical support tickets and troubleshoot complex issues independently while managing the full support lifecycle. Additionally, you will mentor junior team members and collaborate with cross-functional teams to improve product quality and support processes.
The role involves productionizing AI-built prototypes, managing infrastructure, and ensuring security for partner-facing software. You will also contribute to the AI engineering practice and build integrated solutions across internal data and product systems.
Design and build foundational AI systems while generating reliable training data. Collaborate with engineers, data analysts, and business users to develop effective, efficient data-driven solutions.
You will build and maintain core backend systems, APIs, and financial infrastructure for an AI Finance Agent. This includes managing third-party integrations, designing database schemas, and ensuring secure, scalable cloud deployment.
You will own the end-to-end frontend delivery for AI-powered mental healthcare products, working within a cross-functional team to build and maintain features. You will also drive AI adoption by integrating AI-powered features into the product and utilizing AI coding agents in your daily development workflow.
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You will own the architecture and evolution of the frontend platform, including design systems, state management, and performance optimization. Additionally, you will develop AI-powered product experiences and lead technical design discussions while mentoring other engineers.
You will take end-to-end ownership of authentication and identity management features while designing high-throughput distributed services. You will also collaborate with cross-functional teams and mentor junior engineers to drive technical excellence.
You will build and maintain features across the full stack, including backend, frontend, and AI pipelines. You will also work closely with the CTO to debug production systems and solve real user problems.
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