Top AI Engineer Jobs

The Senior AI Engineer will manage the full lifecycle of AI systems, focusing on architecture, deployment, and compliance, ensuring scalable and cost-effective solutions.

The role involves developing and enhancing AI-powered healthcare software, collaborating with various teams, and ensuring product usability and reliability.

The Senior AI Engineer will manage the lifecycle of AI solutions, focusing on architecture, deployment, compliance, and scalability in production environments. They will collaborate with various teams to optimize AI systems.

Lead Lean transformation initiatives and AI coordination to enhance process excellence across multiple business functions, coaching teams and ensuring integration with operational standards.

Design and build backend systems for AI workflows, optimize solutions using Python, integrate AI/ML tools, and collaborate with teams for enterprise applications.

Design and implement scalable APIs and integration services for Skylar's AI platform, focusing on backend development and security systems. Collaborate with engineering teams to ensure reliable integration and mentor junior engineers.

As a Senior AI Software Engineer, you will design and maintain AI systems, improve operational efficiency, and mentor engineers while building scalable applications for loan origination and servicing.

The Senior Staff Engineer at GEICO will lead engineering teams to develop AI-powered solutions, ensuring high-quality systems and driving innovation in a fast-paced environment.

The Computer Vision AI & ML Engineer will develop and optimize deep learning models for robotics perception systems, collaborating across teams to integrate models and evaluate performance.

The Enterprise AI Platform Engineer transforms AI prototypes into production systems, focusing on deployment, security, solution architecture, and developer support.

As a Senior Applied AI and AI Infrastructure Engineer, you will manage AI projects, deploy infrastructure, mentor junior engineers, and apply AI for chip design.

The R&D Engineer will build and refine software solutions for defense use cases, prototype systems, and convert stakeholder feedback into technical requirements. Collaboration with engineering teams and customer-oriented engagements are key responsibilities.

The Software Engineer, Applied AI will develop machine learning solutions and classification models, enhancing text, image, and video understanding on a policy intelligence platform.

The Software Engineer AI will design, develop, and deploy AI-powered product features in a cloud-native environment, ensuring technical excellence and collaboration across teams to enhance the candidate experience.

The AI/ML Engineer will design and implement AI/ML models to enhance analytics for government decision-making, ensuring accuracy, security, and alignment with objectives while mentoring staff.

The Principal Software Engineer will lead the integration of AI with a focus on developing data orchestration solutions, modernizing legacy systems, and enhancing web infrastructure for optimal performance.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

The Senior Digital Design Engineer will design and implement digital designs for high-performance connectivity solutions, collaborating across teams for successful product delivery.

The Principal Digital Design Engineer will architect and implement complex digital designs for connectivity solutions, oversee micro-architecture and RTL implementation, and mentor junior engineers.

The Staff AI Research Engineer, Perception will develop and deploy advanced perception models for robotic systems, focusing on object detection and scene understanding, optimizing for real-world performance.

The AI Workflow Engineer will design and deliver training, facilitate workshops, redesign workflows, and develop use cases for enterprise clients using AI tools.

As a Senior Software Engineer for AI Applications, you'll develop AI-native features, own backend systems, and ensure performance and safety in AI workflows.

As a Staff Software Engineer, you will build AI platform foundations, set technical direction, and manage end-to-end services while collaborating with a senior team on AI tooling and platform reliability.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

The Staff Software Engineer will build and operate AI platform components, set technical direction, and ensure reliability and observability of services, focusing on AI tooling and end-to-end service ownership.