Top AI Engineer Jobs

Design, implement, and scale AI/ML systems and data pipelines for healthcare applications. Own model inference, deployment, monitoring, and reliability; collaborate with cross-functional teams to deliver production ML solutions using cloud and distributed computing.

Design, implement, and operate production AI/ML systems for healthcare. Own inference and delivery of ML insights, scale and monitor models, build and optimize data pipelines, apply MLOps practices, and partner with cross-functional teams to integrate AI into products.

Lead adoption and delivery of AI/ML solutions (including LLMs, generative AI, chatbots, and predictive analytics). Design, build, deploy, and maintain cloud-hosted AI services, ensure responsible AI and compliance, provide technical leadership, mentor team members, and integrate AI into product and platform initiatives.

The Lead Reliability Engineer will establish an AI Community of Practice, ensuring reliable service functionality and driving operational efficiency through data analysis and service management.

The AI Solutions Engineer will design and build AI-powered workflows and automation for financial operations, improving efficiency and compliance across the finance team.

As a Senior Backend Engineer at Posh, you will design and scale backend services, manage AI infrastructure, and collaborate on integrating AI features into products.

The role involves designing and developing AI applications for healthcare, focusing on machine learning solutions, data processing, and high-quality code delivery.

The Lead Product Engineer will build the implementation engineering team, collaborate with clients to solve operational challenges, architect scalable systems, and manage end-to-end client deployments while using AI technologies.

The AI Middleware Principal Engineer will lead the design and evolution of enterprise middleware platforms, apply AI for efficiency, and mentor engineering teams.

Design, develop, and implement AI applications; integrate LLM models; maintain large scale applications; troubleshoot complex issues; mentor others.

The Robotics Engineer develops and integrates robotic manipulation systems for vehicle manufacturing, ensuring performance and reliability through system testing and collaboration with teams.

Lead robot learning and perception development for manufacturing systems, guiding engineering from prototype to production and advancing embodied AI.

The role involves designing and building cloud-native applications, enhancing AI capabilities, and collaborating with teams in secure environments.

As a Senior Software Engineer at WHOOP, you will develop backend features, collaborate with teams, mentor junior engineers, and enhance member-facing AI-driven tools.

The Senior AI Software Engineer Manager will lead a team in managing and delivering AI-driven software solutions, focusing on full-stack applications and technical strategy alignment with stakeholders.

The Senior Staff Software Engineer will lead the architecture and implementation of AI-powered developer tools and workflows in a cloud environment. Responsibilities include mentoring, driving innovation, managing project delivery, and fostering a culture of continuous improvement.

The AI Platform Engineer Director will design and maintain scalable AI platforms, manage Kubernetes clusters, and ensure compliance across cloud services.

The Senior Software Engineer will scale and optimize the Generative AI product infrastructure, improve performance, collaborate with teams, and implement best coding practices to enhance the conversation engine for enterprise solutions.

Design, build, and productionize scalable agentic AI systems (agent orchestration, sandboxed execution, latency optimization, memory, multimodal I/O). Implement frontier ML/LLM architectures, improve platform reliability, mentor engineers, and collaborate across ML, security, product, and UX teams.

Design, test, and optimize prompts for generative AI, collaborate with data scientists, analyze model performance, and improve prompt engineering processes.

Design, develop, and maintain scalable backend systems for automated order-taking platforms, collaborating with teams to integrate AI models and optimize performance across noisy environments.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.

As a Machine Learning Engineer, you will develop AI/ML systems for robotics and manufacturing, adapt architectures for complex applications, and engage in research contributions.

As a Senior Software Engineer, you will build AI-driven agent systems for media planning and execution, collaborating closely with data scientists and product teams.

The Lead AI Product Engineer will design, build, and operate AI agent systems, focusing on architecture, reliability, and performance while collaborating on user-centric workflows.