Top AI Engineer Jobs

The AI DevOps Engineer will design, deploy, and manage scalable AI infrastructure, focusing on automation, security, and high performance while ensuring compliance within financial services.

The AI Systems Engineer will design AI architectures, build training pipelines, optimize models for edge inference, and manage model lifecycles.

Lead the development of real-time, safety-critical onboard software for embedded GPU platforms, focusing on AI perception and optimization.

Lead the transition from teleoperation to autonomy in robots by developing Vision-Language-Action models and deploying ML systems. Collaborate on data processing and model integration for robotics applications.

Join Knoetic as a Fullstack Product Engineer in a new AI pod. Own features end-to-end, work with customers, and improve engineering practices.

Develop complex AI software solutions, lead projects, perform system integration, and manage software deployment using various programming languages and cloud technologies.

The AI Platform Engineer will design and maintain cloud infrastructure and CI/CD systems for X-energy's AI-native platform, ensuring reliability and enhancing deployment processes.

Design and build high-performance UI and APIs, manage database architecture, optimize systems for reliability and performance, and collaborate cross-functionally in a scientific context.

Senior Software Engineers will develop AI-native products, write maintainable code, deploy applications, and collaborate across teams to enhance learning experiences.

As a Senior Software Engineer, design and develop automation solutions leveraging AI, integrate AI-driven components, and maintain backend systems while collaborating cross-functionally to improve workflows.

As a Senior Software Engineer, you will design and build AI-driven automation solutions, integrating them into backend workflows while ensuring system reliability and collaborating cross-functionally.

Contribute to AI-driven healthcare solutions by designing and building AI-centric features, integrating LLMs, and ensuring system reliability. Collaborate effectively and take ownership of projects in a fast-paced environment.

The role involves enhancing kernel performance and AI-assisted tooling through developer workflows, observability infrastructure, and optimization techniques, collaborating across engineering teams.

As a Full Stack Engineer, you'll develop platform capabilities, collaborate with teams to implement solutions, and integrate new technologies while ensuring architecture and security are sound.

Provide technical support and troubleshooting for complex customer issues, use scripting and OpenAI tools to automate processes, partner with engineering and product teams to resolve bugs, improve support systems, and scale operations while participating in on-call and weekend coverage.

Design and develop large-scale AI systems for healthcare, focusing on ML infrastructure, real-time analytics, and collaboration with teams. Requires extensive experience in software engineering and AI.

This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.

The Engineer III - AI designs intelligent systems, leads AI reliability efforts, collaborates on performance metrics, mentors engineers, and focuses on effective communication to solve complex issues.

Lead full-stack development for an AI-native insurance product, owning features from concept to production. Build frontend and backend systems, integrate and orchestrate LLMs and ML models, improve internal developer tooling and CI/CD, collaborate with brokers and customer teams to iterate on AI-driven workflows, and scale the platform across carriers and lines of business.

As a Senior Hardware Systems Engineer, you will lead AI rack and cluster infrastructure designs, manage deployments, and collaborate with cross-functional teams to optimize data center solutions.

As an AI Research Engineer, you'll design and maintain data pipelines, train models, and work with researchers on innovative solutions.

Own and operate Baseten's internal AI stack, build and deploy custom AI agents and LLM-powered tools, evaluate third-party AI developer tools, instrument usage and measure impact on engineering productivity, and support engineering teams in adopting AI workflows.

As an AI Product Engineer, you'll develop AI-driven software solutions, collaborate with teams, and ensure high quality and performance of products.

Lead full-stack development and architecture across frontend, backend, and AI systems. Build scalable services, integrate models and data pipelines, collaborate with product/design, mentor engineers, and deliver high-impact features from design through production.

Lead signal integrity analysis for photonic-electronic systems, collaborating with design teams to optimize high-speed data paths and package stack-ups.