Top Artificial Intelligence Jobs

The Accounting Manager will oversee financial reporting, ensure compliance with tax regulations, manage bookkeeping, and develop financial strategies to support company growth.

Design, develop, maintain, and support a complex web application and associated platform components (SQL Server, Windows services, desktop apps). Implement performant, secure back-end systems and intuitive front-end interfaces using .NET, C#, JavaScript/TypeScript, Blazor, and related technologies. Mentor team members, perform code reviews, follow SDLC/agile processes, interface with users to prioritize requests, and ensure compliance with corporate and ISO standards.

Build, operate, and improve customer-facing AWS SaaS environments; streamline CI/CD and deployment pipelines; automate and scale infrastructure with IaC and containers; monitor reliability and incident response; provide on-call production support and document processes.

Provide frontline support across email, chat, and calls; triage and escalate product and workflow issues; build support documentation, macros, and knowledge base; measure support metrics; surface recurring themes to Product and Engineering; and help establish processes and playbooks for the early support function.

Design, develop, and deploy complex features for AI-first products and customer interaction platforms. Collaborate with product and design, ensure scalability and reliability, mentor junior engineers, perform code reviews, and deliver enterprise-grade solutions in a fast-paced environment.

Contact customers via inbound/outbound calls to resolve account balances, set up payment arrangements, follow compliance and call structure, update account records, escalate issues, and meet assigned goals while providing professional, patient-focused service.

The DevSecOps Engineer will maintain software and services in large-scale computing systems, implement CI/CD systems, and ensure efficient code deployment and monitoring within cloud environments.

The Customer Quality Engineer resolves customer quality issues related to electrical infrastructure products, focusing on root cause analysis, corrective actions, and continuous improvement to enhance product reliability.

Manage the full expert lifecycle for a global network of linguists and AI data specialists: source, vet, test, onboard, and maintain the expert database. Run sourcing campaigns, design assessments, coordinate with Production/Revenue, analyze pipeline gaps, streamline processes, and train junior team members to ensure high-quality, multilingual and multimodal talent availability.

Partner with managers to diagnose team challenges, design scalable People Products using product principles, lead end-to-end rollout, advise on US multi-state employment and leave administration, measure outcomes, and iterate on people solutions to support growth and manager capability for a fast-scaling AI startup.