Top Artificial Intelligence Jobs

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.

Build and deploy full-stack solutions directly with customers, owning work from discovery through implementation. Partner with product and engineering teams, advise customers technically, balance speed with maintainability, explore varied technology stacks, and ship user-facing features in response to feedback. The role involves React and backend development, database and API work, customer collaboration, and independent field execution.

Lead privacy engineering practices across software, cloud, AI, and connected-device platforms. Implement privacy by design, conduct PIAs and DPIAs, translate regulations into technical controls, assess architectures, support audits, and manage privacy risks. Collaborate with Legal, Compliance, Security, Product, and Design teams while defining controls for logging, monitoring, identity, access, and data protection. The role requires expertise in global privacy regulations, cloud environments, security technologies, and executive-level risk communication.

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.

Join the founding team to design and build research infrastructure, automate compute clusters and data pipelines, and develop software/APIs enabling access to generative AI systems for protein therapeutics. Internship with Bay Area location (remote for exceptional candidates).

Lead ASIC front-end physical design and workflow development for generative AI inference chips. Optimize block-level and full-chip implementation using Cadence and Synopsys tools, including synthesis, formal checks, power analysis, and static timing analysis. Support backend design activities involving clock trees, routing, DRC, LVS, metal fill, and artwork release. Collaborate with global ASIC, design, and verification teams while developing scalable, high-performance EDA workflows.

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.