TypeScript AI Jobs

View detail

Build end-to-end AI features by architecting and shipping fullstack solutions from React frontends to Python backend services that leverage voice AI and large language models to automate clinical workflows; implement and fine-tune audio processing pipelines ensuring accurate performance of Automatic Speech Recognition (ASR) and LLM agents in diverse medical environments; translate complex clinical feedback into technical solutions by rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling; optimize fullstack performance for real-time audio streaming and token generation to minimize latency for seamless clinician interaction; partner with implementation and clinical teams to shorten the feedback loop by shipping critical integrations and feature requests from concept to production quickly.

View detail

Design and build intuitive web interfaces for robot data annotation, datasets visualization, and experiment tracking. Utilize data-driven techniques to optimize interfaces for efficiency and fast iteration cycles. Integrate AI models to automate manual tasks. Work together with AI researchers, robot operators, and annotators to support new user experiences.

View detail

Debug and fix issues in the platform and ship pull requests with fixes. Build internal tools and copilots powered by generative AI to enhance the team. Rapidly prototype proof-of-concepts for customer use cases. Collaborate across Engineering, Product, and Solutions teams to unblock customers and advance AI adoption.

View detail

Build and maintain features for the web-based property management platform using TypeScript, React, Node.js, PostgreSQL, and AWS. Contribute to a monorepo architecture, working within two-week sprint cycles to deliver high-quality code. Implement integrations including DocuSign, Plaid, Stripe, and ownership group payout systems. Optimize platform performance and user experience by replacing legacy systems. Build and integrate AI agents using Claude and other AI APIs to automate organizational processes, developing API integrations and custom agents. Collaborate with the CEO on prioritizing automation opportunities. Take ownership of tasks, independently research and implement solutions to challenges, proactively identify and implement improvements, and contribute ideas to platform architecture and development priorities.

View detail

Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention. Identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research efforts. Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers.

View detail

Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention. Identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research efforts. Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers. Have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration, working directly with leaders across industries like finance, healthcare, and hospitality to solve their users’ needs with reliable and intuitive AI agents. Dive deep into complex system challenges and build elegant solutions that scale to millions of users.

View detail

As a Product Engineer, you will dream up, build, and ship LM Studio features to millions of users worldwide at a fast pace. Your work will intermingle UI development with systems engineering, design, and applied AI/agentic engineering. You are expected to have a holistic understanding of software systems and the ability to work across the stack.

View detail

Build production AI systems by designing, developing, and deploying robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full-stack AI products. Work directly with customers by partnering closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions. Lead system architecture by designing scalable architectures for production AI systems that balance performance, reliability, cost, and maintainability. Develop internal platform infrastructure by contributing to Distillery, the internal LLM application platform, building reusable infrastructure, tools, and workflows used across customer deployments. Evaluate AI systems rigorously by developing evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety. Ship production-grade systems ensuring they meet high standards for observability, reliability, security, and maintainability. Raise the engineering bar by improving development workflows, evaluation practices, and deployment strategies as the AI platform evolves.

View detail

As a Forward Deployed AI Engineer at Lorikeet, you will act as an AI expert and evangelist for the customer base, leading AI implementation projects from kickoff to successful deployment. Your responsibilities include building and configuring workflows in Lorikeet's AI tools to meet customers' unique goals, understanding customers' businesses and recommending innovative AI solutions beyond typical customer support, working with the product team to represent customer needs and provide feedback, guiding customers through technical implementation while building strong relationships, and solving complex integration challenges creatively and efficiently.

View detail

Develop, test, and deploy production-level code across backend and AI systems. Collaborate with AI researchers to integrate and optimize large language models for insurance workflows. Build data processing and evaluation pipelines for unstructured document inputs such as PDFs, emails, and images. Contribute to core infrastructure including APIs and orchestration logic powering the AI Workspace for Insurance. Work cross-functionally with product and customer teams to identify and solve real business problems using AI. Participate in design reviews, code reviews, and rapid iteration cycles.