Clinical AI Engineer
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.
Data Strategy Associate
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.
Senior/Staff Software Engineer, Developer Tools and Productivity
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.
Legal Operations Analyst
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.
AI Growth Engineer
The AI Growth Engineer is responsible for rapidly building and shipping scrappy 0→1 solutions across multiple tech stacks to capture growth opportunities, collaborating closely with AI Researchers to explore State-of-the-Art (SOTA) models for use within the Agent Opus platform, and spending roughly 30% of their time on iterative, data-driven work focused on user expansion. They work cross-functionally daily with growth marketers, product managers, and data teams to align on priorities, define metrics, and achieve measurable impact. Additionally, they dedicate about 30% of their time to operational tasks such as SEO initiatives, ads execution, B2B leads sourcing, and answering critical data questions, while serving as strong communicators to advocate ideas, drive global team alignment, and present data-driven recommendations to leadership.
AI Tooling Frontend Engineer - Helix Team
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.
Software Engineer (AI)
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.
Senior Software Engineer (Fullstack)
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.
Full Stack AI Engineer – BuilderEx
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.
Product Manager, Agent Memory
Lead development of Agent Memory, the system that enables AI agents to remember and personalize interactions across conversations, transforming one-off exchanges into continuous relationships that drive measurable business outcomes at scale. Balance competing stakeholder needs including end users expecting personalization, operations teams requiring compliance, and developers needing flexible integration patterns. Define how AI agents should remember, addressing session continuity, long-term relationships, intelligent consolidation, context retrieval, and privacy-preserving personalization. Collaborate closely with engineering teams on distributed systems, ML teams on retrieval and embedding technologies, and infrastructure teams on scalable storage solutions. Serve as a trusted and strategic advisor to customers in partnership with sales, go-to-market, and forward-deployed teams. Lead the product through all stages from concept to execution in collaboration with cross-functional partners.
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