Top Artificial Intelligence Jobs

Maintain and optimize servers, networks, endpoints, communication systems, and security software. Provide desk-side and remote support, manage ServiceDesk tickets, onboard and offboard employees, configure devices, and administer Office 365 or Google Workspace. Maintain hardware logistics and asset records, support network upgrades and laboratory infrastructure projects, enforce IT governance and ISO 27001-aligned policies, manage incidents, and improve service processes while collaborating with international IT teams and vendors.

Build and lead Orpex’s AI workforce platform as a former founder or CTO. The role is intentionally flexible across engineering, product, and company operations, with ownership from day one. Responsibilities include defining a first-90-day mandate, setting engineering and hiring standards, shipping core products, and partnering directly with the founder. Candidates should have founded a company, served as a startup CTO or first technical hire, shipped a credited product, or operated a service business.

Open application for future opportunities across Stilta, an AI company developing intellectual property software. The company seeks exceptional builders with measurable impact, an AI-native approach, strong ownership, resourcefulness, clear communication, and the ability to work in a fast-moving startup environment. Applicants should describe their strengths, what they want to build, and how they could contribute.

Lead technical execution for teams building endpoint agents, backend and inference services, cloud infrastructure, and customer-facing products. Translate engineering priorities into plans, milestones, and ownership; guide architecture and implementation; manage, mentor, and develop engineers; oversee planning, delivery, quality, hiring, and onboarding; and remove technical or resourcing blockers. The role requires hands-on technical judgment, distributed systems experience, and familiarity with agentic coding tools in a fast-moving startup environment.

Build Hive’s US market for autonomous heavy machinery by generating pipeline, targeting industrial accounts, managing complex deals end to end, launching initial customer deployments, expanding accounts, and creating the US sales playbook. The role requires an established industrial network, consultative selling ability, technical fluency, quota achievement, multi-stakeholder deal experience, and willingness to travel nationwide.

Own mechanical robot subsystems from architecture through production, including drivetrain, structures, actuation, linkages, and enclosures. Select and integrate components, perform load and tolerance analysis, prototype in-house, and design for manufacturing, assembly, serviceability, and reliability. Debug deployed robots, coordinate with manufacturers and vendors, mentor junior engineers, and drive rapid iteration on field-ready hardware.

Sources candidates for live briefs at early-stage AI startups, conducts one-to-one outreach, drives qualified signups through a referral link, and logs sourcing activity and responses. The sourcer works independently using personal tools, networks, and approved automation. Performance is measured by candidate reach and qualified signups per billed hour, with hourly pay and performance bonuses.

Own enterprise customer support for GPU and AI infrastructure. Triage compute, networking, scheduling, orchestration, performance, hardware, and facility issues using monitoring tools. Respond to incidents, coordinate escalations with engineering and vendors, communicate clearly under pressure, and improve runbooks, SOPs, knowledge bases, and support processes. Participate in 24/7 shift coverage, including occasional after-hours, weekend, and holiday incident support.

Provides Tier 1 remote technical support for clients across workstation, Microsoft 365, mobile device, printer, application, and connectivity issues. Documents tickets, resolves basic problems, escalates complex issues, communicates status updates, follows security and client procedures, and participates in on-call coverage. The role is on-site and supports multiple client environments while developing technical skills.

Build Preql’s core agentic AI workflows for financial data cleaning and transformation. Responsibilities include developing LLM-powered data pipelines, conversational interfaces, audit-ready transformation engines, APIs, financial data integrations, and web-based workflow builders. The role owns the full stack, collaborates directly with enterprise customers, and takes the product from proof of concept to MVP while ensuring data lineage, reproducibility, and compliance.