Top Artificial Intelligence Jobs

As an AI Prompt Engineer, you'll develop prompt templates, conduct A/B tests, collaborate with trainers, and maintain prompt libraries for generative AI applications.

The AI Integrator will lead the design and deployment of AI solutions, integrate systems, support client adoption, and manage changes in workflows.

Develop, test, and improve AI-powered voice and chat agent workflows: write scripts, configure conversational flows, analyze user data, perform QA, troubleshoot agent behavior, and collaborate with engineers and designers to optimize performance.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

The Founding AI Product Engineer will develop AI-native solutions for loan servicing, owning product features, collaborating with customers, and building responsive web apps and APIs.

Lead the design and evaluation of conversational AI systems from data preparation to model deployment, focusing on transforming unstructured conversations into actionable insights.

Lead design and evaluation of applied AI systems for conversational intelligence. Responsibilities include model architecture, evaluation frameworks, and collaboration with cross-functional teams.

The job involves designing a Python-based testing harness for data collection in an emissions measurement study, capturing runtime and energy metrics across AI workloads.

The role involves building AI agents, integrating APIs, owning product architecture, and collaborating with founders while developing tools for booking management.

As a Growth Analyst Intern, you will create AI-generated ads, optimize budgets, conduct market research, and help refine product processes.

The Staff AI/ML Engineer will design, build, and improve AI systems for document retrieval and data extraction, work with clients, and mentor team members to establish best practices.

The AI Marketing Strategist will manage client relationships, advise on digital marketing, execute projects, and implement technology solutions to enhance marketing value.

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.

Lead the end-to-end product development process, conduct market research, collaborate with cross-functional teams, and manage product roadmaps based on customer insights and analytics.