Top Artificial Intelligence Jobs

Design, build, and maintain scalable web applications using React and Node.js. Integrate REST APIs, optimize performance, implement CI/CD and DevOps practices, work with cloud platforms and databases, apply microservices architecture, troubleshoot issues, participate in code reviews, mentor junior developers, and collaborate with product and design teams.

Design, build, test, and maintain production-ready, scalable API services and platform solutions using microservices and containerization. Collaborate with engineers, Data Engineers, CloudOps and Product to deploy and operate services on cloud platforms, ensure observability and readiness, and participate in Agile lifecycle activities.

Lead finance strategy and reporting: build financial models, analyze drivers of spend and growth, support fundraising and due diligence, partner cross-functionally, implement financial systems, and communicate with CEO and board.

The Senior Data Engineer is responsible for building AI-driven healthcare automation systems, managing data workflows, and ensuring accurate reporting, particularly in healthcare claims processes.

Build core product and infrastructure, ship end-to-end features across the stack, develop data ingestion and multimodal representation systems, implement LLM-based agentic systems and other AI approaches, and act as a technical leader mentoring engineers while defining technical vision and culture.

Technical individual contributor leading design and implementation of scalable backend services, data and analytics infrastructure, integrations, and AI/LLM-powered features. Own system performance, reliability, observability, CI/CD, and data pipelines. Mentor engineers, define architecture, and partner with product and AI teams to deliver production-ready, data-intensive analytics capabilities.

Build and scale core runtime systems for autonomous agents: design low-latency backend services, secure sandboxed execution environments, stateful runtime infrastructure, APIs, and highly concurrent distributed systems. Contribute to architecture and integrate third-party services while operating production backend systems.

The GTM Lead will support enterprise deals, manage a pipeline, build a modern GTM machine using AI, and document processes in a playbook.

Manage logistics performance across fulfillment ecosystem, drive operational excellence, ensure SLA targets, lead 3PL partnerships, and implement AI improvements.

Lead revenue and financial analysis for a multi-site physician practice platform. Own revenue recognition models, build forecasting and scenario models, prepare executive dashboards, and translate financial data into strategic recommendations. Partner with Accounting, Revenue Cycle, and clinical leaders to improve predictability, performance, and reporting. Support Adaptive Planning, month-end analytics, reconciliations, and standardization of FP&A processes.