Top Artificial Intelligence Jobs

Founding Engineer will own the technical roadmap and build Voxology’s AI healthcare automation platform. Responsibilities include architecture, AI/ML pipelines, model training and deployment, backend and frontend development, APIs, automation, LLM orchestration, infrastructure, and rapid prototyping. The role partners with leadership, product, and go-to-market teams while shaping engineering culture and supporting production systems through on-call ownership.

Conduct robotics and Physical AI research connecting interaction understanding with real-world robotic systems. Build closed-loop perception, planning, execution, monitoring, and replanning systems; integrate and debug robots; design experiments in restaurant and healthcare environments; evaluate robustness; and contribute to publications, prototypes, and potential patents.

Own enterprise business development from pipeline creation through signed engagements. Build relationships with large enterprises, activate an existing executive network, identify high-value opportunities, lead senior stakeholder conversations, scope deliverable engagements with engineering teams, and shape sector focus and go-to-market strategy. The role requires strong commercial judgment, sector expertise, executive presence, autonomy, and a proven record of converting enterprise relationships into engagements.

Full-cycle B2B SaaS Account Executive selling an AI-powered PropTech work OS. Own deals end-to-end, run discovery-based demos, build and manage pipeline, prospect via outbound and industry relationships, sell operational and financial outcomes, maintain forecasts, and surface market feedback to product and leadership.

The role involves cultivating customer relationships, managing sales and operations, and providing product insights to drive company progress.

Own and scale JivPad’s full growth funnel across paid, organic, referral, partnership, and lifecycle channels. Develop data-driven strategies, run marketing experiments, optimize acquisition through retention, manage performance campaigns, analyze cohorts and attribution data, and collaborate with Product, Engineering, Content, Brand, and Community teams to drive adoption and revenue.

Design and review large-scale electrical power systems for utility-scale generation, data centers, and industrial facilities. Own deliverables spanning one-line diagrams, load flow, HV/MV distribution, substations, transformers, and switchgear. Apply hands-on engineering judgment to an AI-powered automated design engine, establish electrical quality standards, identify bottlenecks, and develop scalable calculation or design-automation tools. The role is in-person in San Francisco and emphasizes execution, first-principles thinking, and extreme ownership.

Develop and support full-stack applications across web, iOS, Android, and Linux platforms. Build real-time mapping and image-processing solutions, implement front-end components, REST back-end services, and database schemas, and maintain third-party dependencies. Collaborate with product and engineering teams in an Agile environment to deliver reliable software milestones. The role also provides technical support for field applications and requires occasional travel to field offices and testing areas.

Lead Casa’s Austin home-services operation, owning service delivery across handymen, concierge teams, and vendor partners. Build dashboards and operating systems to improve completion, quality, cost, productivity, and homeowner satisfaction. Recruit and manage third-party vendors and frontline teams, resolve service failures, improve processes, and uphold home-access, safety, and trust standards. The role requires hands-on field involvement, independent project ownership, stakeholder management, and flexible availability for customer needs.

Own the enterprise architecture vision for scalable, high-performance, cost-efficient multi-tenant SaaS systems. Lead AWS cloud optimization, distributed data and AI infrastructure, architectural governance, and Architecture Review Council activities. Guide engineering teams on microservices, event-driven systems, automation, and cloud-native practices while driving GenAI adoption across the software lifecycle. Build prototypes, establish architectural standards, optimize total cost of ownership, and mentor technical leaders.