Top Artificial Intelligence Jobs

Evaluate AI-generated energy forecasts based on accuracy and quality, leveraging analytical and quantitative skills to assess forecast responses.

Open call to join an early-stage, YC-backed startup building compliant conversational voice and video AI for life sciences. Applicants should submit a brief intro, the type of work they do best, and why they care about life sciences AI. Company emphasizes ownership, autonomy, rapid iteration, AI-first tooling, competitive compensation, and equity.

Unsolicited/open application for a startup building an AI-driven scientific intelligence platform for physical sciences. Company seeks exceptional candidates across roles to accelerate R&D in semiconductors, batteries, materials, aerospace, and related fields; invites interested people to apply even without a specific posted role.

The Sr. Business Development Manager focuses on government engagement, driving sales, managing client relationships, and developing growth strategies for digital solutions.

Serve as primary technical contact for customers, provide hands-on guidance for integration and deployment, write scripts for diagnostics/automation, troubleshoot issues, lead technical deep-dives, collaborate with product and engineering, and build long-term customer relationships to maximize platform value.

As a Software Engineer, you'll design and develop web applications, microservices, and REST APIs, along with handling coding, database design, and quality assurance while working collaboratively on product delivery.

Own the full product lifecycle to build scalable, reliable revenue-cycle solutions. Develop frontend and backend systems, deploy production-grade software, and iterate closely with a small team and customers to drive product improvements.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

The Infrastructure Engineer will design and develop scalable infrastructure and developer tools for KB AI. Responsibilities include setting technical direction and participating in company culture building.

Lead and scale the Business Operations function by managing cross-functional ops teams, building processes, automations, KPIs, and systems, hiring and developing ops leaders, defining product priorities for ops experiences, and executing CEO-level strategic projects to drive company growth.