Ai Systems Engineer Jobs in United States

Principal AI Systems Engineer — Agentic Platforms The Moment The role of the software engineer is changing. Autonomous agents can now execute real workflows, operate infrastructure, and improve over time. The hard problems are shifting from model demos to production systems: orchestration, memory, r

AiFi is a spatial intelligence platform that helps businesses understand and operate physical spaces using real‑time AI. Built on a camera‑first, privacy‑conscious foundation, our platform transforms physical environments into actionable systems—improving operations, elevating customer experiences,

FinQuery stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts—like leases, prepaids, and accrual

FinQuery stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts—like leases, prepaids, and accrual

AI/Systems Engineer: Offensive Cybersecurity — Zealot Location: Washington, D.C. (Onsite, 5 days/week) Compensation: $160,000 – $250,000 base + 0.25% – 0.75% equity Visa Sponsorship: None available Experience Level: 2–5 years Employment Type: Full-Time About Zealot Zealot is building AI-driven offen

About Us: Founded in 1972, Atari is one of the world’s most iconic consumer brands and a pioneer in the video game industry, known for creating classics like Pong, Asteroids, and Centipede. Today, Atari Inc. continues to build on its legacy by developing games, hardware, and experiences that honor t

Essential Functions: Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes. Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering