Top Artificial Intelligence Jobs

Own end-to-end product design for an AI-native clinical research platform. Responsibilities include simplifying complex research workflows, conducting user research and usability testing, prototyping, iterating, and partnering with engineering through delivery. The role also requires aligning designs with regulatory, privacy, IRB, and compliance requirements while creating intuitive experiences for research participants and clinical staff.

Own accounts payable operations, expense report auditing, month-end close, invoicing, revenue recognition, reconciliations, subsidiary accounting, ERP maintenance, financial audits, and corporate tax filing. The role requires a CPA, accounting experience in audit and technology environments, and strong NetSuite and Expensify skills.

Own the enterprise product experience, including the web application, notifications, reporting, APIs, permissions, EMR integrations, and implementation processes. Lead product work from discovery through launch, partner closely with engineering and customer-facing teams, support enterprise rollouts, and convert manual implementation work into scalable product capabilities. Engage healthcare providers and administrators to inform roadmap priorities and technical tradeoffs.

Own enterprise customer onboardings from signed agreement through stable production launch. Integrate ERP and CRM systems, clean and reconcile messy financial data, ship production TypeScript integrations, improve AI agent prompts and evaluations, and convert customer learnings into product improvements and scalable onboarding playbooks. The role combines software development, customer-facing technical ownership, and building the company’s forward-deployed engineering function.

Lead Neptune’s expert marketplace by recruiting and onboarding qualified professionals, developing supply partnerships, expanding into new markets, managing marketplace operations, analyzing performance, and building scalable processes and support systems. The role works closely with founders and requires strong commercial judgment, analytical skills, independence, hands-on execution, and comfort using AI and automation.

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.

Build and ship full-stack features across a TypeScript+Python stack for deploying AI agents. Develop backend services for large-scale LLM pipelines, time-series data ingestion/querying, and tools to evaluate, fine-tune, and serve AI workflows. Contribute to CI/CD, observability, resilience, and developer experience while owning product areas end-to-end.

Develop and maintain enterprise full-stack applications using Java, Spring Boot, Hibernate, ReactJS, JavaScript, databases, and web services. Coordinate on-site delivery, offshore engineering teams, sprint goals, technical handoffs, code reviews, CI/CD pipelines, testing, source control, and production troubleshooting across time zones.

Manages relationships with orthopedic practices, surgeons, clinical staff, and patients. Educates patients on surgical planning technology, conducts consultative sales conversations, coordinates patient workflows, schedules CT scans, tracks surgical plans, and maintains documentation in Salesforce. Supports practice onboarding, account growth, patient conversion, reporting, and cross-functional improvements while delivering concierge-level service.

Build and validate autonomy software for outdoor construction robots. Responsibilities include developing ROS 2 software, working on perception, mapping, localization, manipulation, simulation, and testing, creating automated regression tests with Isaac Sim, conducting field tests, analyzing failures, and building evaluation tools. The intern will collaborate with autonomy, mechanical, electrical, and firmware teams during robot integration and field testing.