Top AI Engineer Jobs

The Senior Lead AI Engineer will develop and support AI software components, partner with cross-functional teams, and enhance AI systems performance. Responsibilities include designing, deploying, and optimizing AI models for improved banking services.

The Senior AI Engineer will design, develop, and deploy AI software components, optimize LLM performance, and collaborate with cross-functional teams to deliver impactful AI solutions.

Design and implement large-scale cloud infrastructure and data processing pipelines for AI applications in software-defined vehicles, ensuring best practices in data governance and observability.

The Staff DevOps/MLOps Engineer will design and build end-to-end DevOps and MLOps platforms, managing cloud infrastructure, CI/CD pipelines, and machine learning lifecycles to ensure efficient model deployment and monitoring.

The Distinguished AI Engineer will develop and support AI software components, lead AI system architecture, and mentor teams, focusing on scalable AI solutions.

As a Junior AI Engineer, you will assist in developing AI applications, work with generative AI techniques, participate in full-stack development, and contribute to MLOps practices.

Design and build high-fidelity simulation environments for AI agents, develop data generation tools, and collaborate on technical architecture.

The AI Engineer builds full-stack features for the RewardStation platform, enhances analytics capabilities, designs AI-powered features, and collaborates with various teams to meet business needs.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

As a Director in AI Engineering, you will lead the design and deployment of machine learning models, drive business growth, and mentor future leaders while fostering a culture of innovation and improvement.

This role involves building AI-powered applications, developing workflow automations, collaborating with teams, creating documentation, and continuous learning in AI and technology.

The Senior Lead AI Engineer will design, develop, and support AI software components, work with cross-functional teams, and innovate AI optimization techniques.

As a Senior AI Engineer, you'll design and build scalable backend systems, develop data processing pipelines, and enhance AI agents for customer experiences. Collaboration with product managers and data scientists is key to your role.

Design, develop, and deploy generative AI solutions, focusing on foundation models and multi-agent systems while mentoring junior engineers.

As an AI Engineer, you will design, develop, and deploy generative AI solutions, lead AI integration, and mentor junior engineers while collaborating across project teams.

The Senior AI Engineer will design and implement AI solutions to enhance engineering workflows, mentor junior engineers, and collaborate on high-quality systems.

The role involves developing, deploying, and supporting AI software systems, collaborating with cross-functional teams, and optimizing AI solutions for Capital One.

Lead technical direction for AI Receptionist platform, oversee engineering quality, collaborate with executives, and mentor future hires.

The Head of Implementation Engineering will build and lead the implementation team, architect scalable systems, and ensure successful client deployments. Responsibilities include understanding client challenges, designing solutions, and partnering with product and engineering.

The Staff Applied AI Engineer will develop AI solutions to enhance productivity, design AI strategies, mentor team members, and build AI pipelines.

Develop localization solutions for autonomous mobile robots focusing on camera- and LiDAR-based systems, and ensure high-precision performance through system integration and testing.

As a Senior AI Engineer, you'll design and implement advanced AI systems using LLMs, develop multi-agent architectures, and enhance user experiences through AI-driven solutions.

The role involves building and scaling the Enterprise AI Platform at Wasabi, designing AI-powered solutions, implementing scalable services, and ensuring robust data governance.

As a Senior AI Engineer, you'll develop ML and Generative AI models, ensure integration with enterprise applications, and manage large datasets while collaborating with teams and mentoring others.

The Principal AI Engineer will lead the design and implementation of scalable AI systems in mental healthcare, ensuring safety and reliability while making AI useful in clinical contexts.