Top Artificial Intelligence Jobs

Build polished, high-performance React/TypeScript web applications and end-to-end features using FastAPI and Postgres. Lead frontend architecture, state management, and UX for data-dense scientific workflows. Collaborate with scientists, robotics, and AI teams, leverage LLMs to accelerate prototyping, ensure testable, secure code, and mentor junior engineers while shipping production-ready tooling for laboratory automation and imagery workflows.

Manage client risk and maximize margins on Swish products through data-driven, +EV trading decisions. Maintain depth chart accuracy, react to prematch and in-play developments, research verified news, and analyze betting trends to produce quantifiable trading actions. Work flexible hours including nights and weekends.

Invitation to join the company's talent pool. Candidates submit their background and interests for consideration for future openings; recruiter review and follow-up as roles open.

Translate complex AI/cybersecurity product capabilities into demos, content, and messaging. Build prototypes and POCs, enable sales with technical collateral and training, partner with product and engineering, engage developer communities, and relay customer feedback to inform product and GTM strategy.

Lead client delivery for AI-driven marketing transformation: run discovery, build scopes and roadmaps, coordinate teams, track timelines/budget/risks, provide status reporting, and ensure measurable outcomes.

Work across product, engineering, and design to ship customer-focused full‑stack features (frontend-heavy) for a retail/CPG startup. Engage customers, scope ambiguous problems, build end-to-end solutions, influence product and engineering practices, and lead cross-functional initiatives while mentoring future hires.

Manage end-to-end data collection and annotation projects for robotics model training. Translate client needs into specifications, coordinate global cross-functional teams, monitor progress and quality, and ensure delivery meets accuracy, SLA, and cost targets.

The Lead AI Engineer will build LLM-powered features, optimize AI infrastructure, and lead the execution of AI projects. Responsibilities include designing pipelines, evaluating models, and collaborating with product teams.

As a Mission Manager, you'll connect military partners with engineering teams, translating operational needs into strategies. You'll support software deployment and lead training sessions, ensuring solutions fit user requirements.

The Infrastructure Engineer will design, build, and maintain scalable, reliable cloud infrastructure, focusing on automation and security within a DevOps environment.