Top AI Engineer Jobs

As a Lead AI Engineer, you will design, develop, and scale backend and ML systems, mentor engineers, and collaborate to create predictive ML solutions.

The Senior AI Engineer will develop agentic AI solutions, managing architecture, integration, and collaboration across teams, focused on semiconductor challenges.

The Principal AI Engineer leads the development of AI-powered solutions, focusing on prompt engineering, guardrail design, and scalable applications. This role involves hands-on implementation, collaboration with teams, mentoring, and innovative problem-solving using cutting-edge AI technologies.

Develop AI agents and applications, manage backend and frontend technologies, integrate complex data systems, and enhance user experience across CoreWeave's platforms.

The Applied AI Engineer will architect, implement, and maintain AI agents for Edison's platform, collaborating with science and engineering teams and gathering insights from R&D partners to improve the agents' capabilities and reliability.

The Principal AI Engineer defines enterprise AI architecture, leads system design, mentors teams, and oversees AI solutions across business domains, ensuring scalability and responsible practices.

The Sr AI Engineer designs and develops AI solutions to optimize business operations, integrating machine learning capabilities to enhance decision making and automation across functions such as supply chain and finance.

The Applied AI Engineer will design and implement AI infrastructure solutions, optimize AI workloads, and collaborate with teams to deliver efficient AI solutions for VMware's Cloud Foundation Division.

The AI Engineer will develop world models for humanoid robotics, enhancing their ability to navigate and adapt to complex environments using deep learning and predictive modeling techniques.

The AI Engineer will develop custom SLAM systems for humanoid robots, ensuring accurate localization and mapping in dynamic environments, leveraging C++ and Python.

The Applied AI Engineer will focus on machine learning applications, defining ML benchmarks, deploying ML systems, and guiding technical culture.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

As a Senior AI Engineer, you'll design and develop AI solutions, guide customer projects, monitor performance, and collaborate with teams to optimize outcomes.

Develop and maintain computational infrastructure for AI biosensor optimization, collaborate on data workflows, and implement deep learning models for protein engineering.

Design, build, and optimize AI-powered workflows and prompts for legal practice groups; collaborate with attorneys and IT; ensure quality, compliance, adoption, and reporting of AI solutions across the firm.

Lead technical design and implementation of an AI-powered sales platform, integrate with CRMs and eCommerce, and collaborate across teams to enhance customer experience.

The AI Engineer will design, build, and maintain AI/ML systems and data pipelines, ensuring reliability and performance while collaborating with cross-functional teams.

As a Forward Deployed Engineer, you'll deliver data solutions for AI innovators, engage with clients to resolve challenges, and lead projects that shape future technology.

The AI Engineer will design and build AI-powered product features and multi-step AI workflow chains, integrating LLMs to enhance user experiences and operational efficiencies in restaurant technology.

The Principal Cyber AI Engineer will develop AI security tools and solutions, analyze threat data, mentor junior engineers, and ensure compliance with security standards.

Design, build and deploy intelligent AI agents to enhance workflows, automate processes, and ensure integration compliance with enterprise security standards.

Lead advanced analytics initiatives by designing and deploying scalable production-grade Generative AI applications, ensuring compliance and mentoring team members.

Lead the development of production-grade Generative AI applications, evaluate agentic architectures, ensure compliance, and mentor team members in AI solutions.

The Sr. AI Engineer will implement AI systems for device intelligence, focusing on imaging products and advanced technologies like LLMs and computer vision.

The Sr. AI Engineer will develop AI-driven product enhancements, design advanced AI systems, and lead complex AI project implementations while ensuring alignment with product goals across the Life Sciences and Diagnostics sectors.