"ai enabled automation" Jobs
1177 open tech roles matching “ai enabled automation”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 1177 results
Join Sprinter Health as an AI Enablement Engineer to drive AI adoption and build innovative workflows across teams.
Join Xaira Therapeutics as a Robotics Engineer to build and integrate advanced lab automation systems in a cutting-edge biotech startup.
Join insitro as a Senior Automation Engineer to develop high-quality automated systems in a dynamic biotech startup environment.
Join Atoms as a Robotics Controls Engineer to develop control systems for autonomous haul trucks in mining environments.
Join Doppel as a backend engineer to build AI-driven systems that protect against digital threats in a mission-driven culture.
Join Atoms as a Senior Robotics Controls Engineer to develop control systems for autonomous haul trucks in mining environments.
Own product strategy and execution for AI and Automation at PagerDuty, leading the roadmap for autonomous SRE agents.
Join Okta as an Associate Enablement Manager to drive sales enablement in a fast-moving SaaS environment.
Join Baseten as an AI Engineer to build AI-driven product features and enhance internal workflows.
Join Okta as a Staff Fullstack Engineer to build the first Identity Security Fabric for the agentic era, ensuring secure access for AI and human identities.
Design and build AI-driven workflows to enhance partner experience operations at Anthropic.
Join Netic as a Software Engineer to build and scale cloud infrastructure for autonomous AI agents in a fast-paced environment.
Join Mariana Minerals as a Staff Machine Learning Engineer to develop autonomy software for mining vehicles.
Join Netic as a Product Infrastructure Engineer to build and scale the backbone for AI agents in a fast-paced environment.
Join Assort Health as a post-sales Enablement Manager to build systems for scaling Implementation, Customer Success, and Support teams.