React AI Jobs

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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.

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The role involves building 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 (LLMs) to automate clinical workflows. The engineer will operationalize Voice AI by implementing and fine-tuning audio processing pipelines to ensure Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse real-world medical environments. They will bridge the gap between model and product by translating complex clinician feedback into technical solutions and rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling. Responsibilities include optimizing for real-time interaction by tuning fullstack performance to handle real-time audio streaming and token generation to minimize latency for a seamless conversational experience. The engineer will partner closely with implementation and clinical teams to shorten feedback loops by shipping critical integrations and feature requests from concept to production rapidly.

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Lead the deployment, performance, and reliability of AI agents operating in live, high-stakes healthcare environments. Architect and scale full-stack systems integrating with EHRs, legacy healthcare platforms, and real-time voice infrastructure. Drive technical strategy for customer-facing solutions, collaborating with product and engineering to translate client needs into scalable architecture. Mentor engineers and set standards for code quality, testing, security, and HIPAA-compliant development. Shape product roadmap by identifying systemic challenges in customer workflows and proposing high-leverage technical solutions.

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Design, build, and maintain full-stack applications powering identity and access management (IAM) experiences. Develop and integrate AI/ML models for identity use cases such as fraud detection, anomaly detection, risk-based authentication, and identity verification. Lead and execute SSO migrations across products and platforms, consolidating authentication flows while minimizing user disruption. Drive domain consolidation initiatives by unifying identity systems, services, and user data models across multiple platforms or brands. Improve developer experience (DevEx) by building internal tools, SDKs, APIs, and documentation that simplify identity integrations. Design and evolve secure, scalable APIs supporting authentication, authorization, and identity data services. Partner closely with Security, Platform, and Product teams to implement and standardize protocols and patterns such as OAuth 2.0, OpenID Connect, SAML, JWT, and zero-trust architectures. Ensure AI-powered identity systems are observable, explainable, and production-ready, with robust monitoring and feedback loops. Balance security, performance, and usability while maintaining high standards for privacy and compliance. Contribute to architectural decisions, technical design discussions, and code quality standards.

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The Applied AI engineer at Mistral works within the customer-facing technical team to deploy AI solutions that deliver measurable business impact. Responsibilities include identifying high-value internal use cases across various departments such as engineering, legal, HR, sales, and operations; building end-to-end LLM applications including prompts, RAG pipelines, APIs, simple UIs, deployment, and monitoring; owning the full lifecycle of AI tools from prototype to production, maintenance, and iteration; documenting learnings and sharing insights with product and research teams; and converting successful internal tools into customer demos or case studies where appropriate. The role also involves acting as the first internal customer for these tools to identify edge cases and limitations, improving models through usage feedback.

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Own the technical architecture including backend, frontend, infrastructure, and AI integration. Write code daily to build critical systems. Make stack and design decisions shaping the product for years. Set standards for code quality, testing, and engineering discipline. Integrate large language models (LLMs) and AI workflows into the platform. Work directly with founders on product direction and the technical roadmap. Create clarity and structure in an environment lacking perfect specifications. Mentor and guide other developers technically.

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In this role, you will own the full product development lifecycle for new platform capabilities and product experiences end-to-end. You will collaborate closely with internal customers to understand their problems and implement effective solutions. Additionally, you will work with the research team to share relevant feedback and iterate on applying their latest models.

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Senior Software Engineers at Lambda AI build end-to-end features for Lambda Cloud by contributing both frontend and backend code to existing and new customer-facing products. They collaborate across teams to deliver critical features for major customers, own production features and systems, and engage directly with client engineering teams and internal stakeholders.

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The Product Manager, Agent Development will partner with engineers and customers to build and ship AI agents capable of handling thousands of customer conversations daily. The role involves shaping the product roadmap, developing virtual agents to fit business needs, and directly engaging with customers to address requirements and technical challenges.

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You will design, build, and deliver production-grade AI agents that power business operations for Sierra's enterprise and startup clients. The role includes full ownership of the Agent Development Life Cycle, direct customer partnership, and the evolution of Sierra's core AI platform.