1,451 Typescript jobs available for remote work from home. Apply for positions such as Strong Middle/Senior Full-Stack Engineer, Java Developer, Full Stack Developer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, build, and maintain end-to-end product features, scalable services, APIs, and workflow-driven solutions across back-end and front-end systems. Collaborate with Product, Design, and Engineering to shape requirements and architecture, own features from discovery through deployment, and improve product quality, scalability, and operational efficiency.
You will perform maintenance, bug fixes, and support for a mature healthcare SaaS platform using Java, Angular, and SQL. Responsibilities include delivering contractually committed features, managing deployments, and performing data work across customer environments.
Build and maintain scalable full-stack applications, Angular frontends, APIs, and real-time data systems, including migrating services to edge runtimes with Cloudflare Workers. Shape long-term architecture and collaborate with design, product, and operations to improve customer-facing experiences and platform performance.
You will own the frontend architecture, build tooling, and component systems while driving performance improvements across the platform. Additionally, you will mentor engineers and collaborate with designers to establish high-quality interaction patterns for AI-driven products.
You will develop and maintain the VoiceBot platform by integrating LLM, ASR, and TTS engines to improve dialogue quality and system architecture. Additionally, you will manage the release cycle, optimize backend performance, and resolve technical incidents to ensure high-quality service delivery.
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Lead a portfolio of diverse technology projects and a team of developers to create robust cloud-based solutions. Collaborate with product managers to define platform roadmaps and drive the end-to-end design of large-scale distributed systems.
Lead a team of developers in building and maintaining distributed microservices and full-stack systems to meet business and regulatory needs. Collaborate with product managers to deliver robust, cloud-based solutions while setting technical standards and mentoring engineering staff.
You will design, build, and operate AI-powered automation, continuous integration, and delivery systems to improve engineering workflows at scale. You will also own core platform capabilities end-to-end, leading technical architecture and driving measurable improvements in developer efficiency and system reliability.
You will design, build, and operate AI-powered automation, CI/CD systems, and developer platforms to improve engineering workflows at scale. You will also own core services end-to-end, leading technical architecture and driving operational health while mentoring team members.
You will own the end-to-end reporting lifecycle, including data modeling, metric definitions, and the creation of dashboards for operations teams and enterprise clients. Additionally, you will ensure data quality and reconciliation while driving improvements across the company's product suite.
You will build and maintain full-stack features for an AI-driven workforce transition platform, working directly with stakeholders to define and ship solutions. You will also integrate LLM-driven agents and ensure the codebase remains healthy, observable, and scalable.
The role involves leading the architectural evolution and engineering execution of core platform microservices while integrating enterprise-grade Privileged Access Management solutions. You will also champion AI-assisted engineering practices and ensure platform resilience through robust automated delivery and testing pipelines.
The role involves leading the architectural evolution and engineering execution of core platform microservices while integrating enterprise-grade Privileged Access Management solutions. You will also champion AI-assisted engineering practices and ensure platform resilience through robust testing and observability.
You will own the quality, evaluation, and continuous improvement of AI agents and prompts to ensure they effectively support small business marketing goals. This involves building technical tooling, defining evaluation rubrics, and diagnosing system failures across models, context, and orchestration layers.
You will lead the design and delivery of complex, full-stack product capabilities while mentoring junior engineers. You will also collaborate with cross-functional teams to influence platform architecture and ensure high standards of code quality.
Design, build, and maintain high-performance mobile features while collaborating with cross-functional teams to ensure a seamless user experience. You will also be responsible for mentoring junior engineers and contributing to the overall mobile architecture and quality standards.
Design, build, test, and ship frontend features while collaborating with cross-functional teams to ensure reliable and usable interfaces. You will own the delivery process from design conversations through to release and follow-up, utilizing data-driven insights to improve performance and stability.
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You will build and evolve production-grade agentic AI systems, managing the full stack from orchestration and pipelines to evaluations and production services. You will also contribute to shared agent frameworks and ensure the reliability, security, and scalability of AI solutions within the Global Commercial Services division.
You will lead the technical design and end-to-end implementation of agentic AI systems, including orchestration, tool use, and RAG pipelines. Additionally, you will own production reliability, establish evaluation standards, and mentor engineers on the AI stack.
Build, extend, and operate backend services and APIs that power 1inch products and internal platforms. Collaborate with product and infrastructure teams to design integrations with smart-contract platforms and blockchain data sources.
You will build and operate production-grade LLM agent systems, focusing on orchestration, tool-calling, and retrieval pipelines. Additionally, you will develop repeatable evaluation frameworks to measure agent performance and ensure system reliability.
You will own the platform end-to-end, managing backend services, frontend, and AWS infrastructure while automating manual processes. You will also be responsible for resolving production incidents and building new product features from scratch.
You will design, build, and ship end-to-end AI agents and capabilities, including tools, prompts, and frontend experiences. You will also contribute to shared infrastructure and maintain evaluations to ensure high performance and reliability.
You will design, build, and maintain end-to-end AI agents and capabilities, including tools, prompts, and frontend experiences. You will also contribute to shared infrastructure and collaborate with product and design teams to deliver high-quality legal tech solutions.
You will build core web experiences like Chat, Notes, and Calendar while integrating AI capabilities directly into product workflows. You are responsible for owning frontend performance, reliability, and accessibility across complex, highly interactive surfaces.
Develop and maintain high-quality mobile experiences using React Native and TypeScript across multiple Kraken products. Collaborate with cross-functional teams to own initiatives from requirements gathering through implementation and post-launch iteration.
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You will build and maintain full-stack features for the Gavel AI platform, including agent tools, API endpoints, and front-end components. Additionally, you will write and evaluate AI models, monitor production outcomes, and collaborate with senior engineers on design and code reviews.
You will design and build the external API and developer platform, ensuring stable integration surfaces for partners and AI agents. Additionally, you will own the end-to-end developer experience, including documentation, SDKs, and infrastructure reliability.
The Senior Security Infrastructure Engineer will lead vulnerability management, SIEM/XDR operations, and incident response across cloud infrastructure. They will also design detection strategies, perform threat modeling, and implement security automation to strengthen the organization's overall security posture.
You will lead the GTI engineering team by managing performance, setting growth plans, and overseeing hiring decisions. Additionally, you will be responsible for technical direction, code quality, and ensuring the stability of the release and production environments.
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