Top AI Engineer Jobs

The Applied AI Engineer will develop and deploy AI-powered solutions in manufacturing, transforming unstructured data into actionable insights, and ensuring systems effectiveness through iteration and feedback.

Design, develop, and deploy scalable software systems focusing on Python, collaborate with teams to solve complex problems, and optimize system performance.

The Senior AI Engineer will develop and implement AI solutions, focusing on machine learning models to enhance healthcare management, collaborating with cross-functional teams to improve patient outcomes.

The Senior AI Engineer will design and build autonomous AI agents for mental health applications, focusing on LLM integration and reinforcement learning techniques for user interactions.

Design and build AI-powered developer tools to enhance productivity. Responsibilities include developing LLM integrations, agent orchestration systems, and collaborating cross-functionally while ensuring production quality and mentoring developers.

The Applied AI Engineer will collaborate closely with life sciences institutions to enhance scientific workflows through AI integration, emphasizing the deployment of Claude across various applications in life sciences. Responsibilities include developing infrastructure, building trust with researchers, and creating documentation for AI tools.

Collaborate to enhance product through analytics, conduct data exploration on user behavior, and present insights to influence product decisions.

As a Forward Deployed AI Engineer, you'll bridge AI capabilities with Study Delivery, implementing automation and improving operational workflows through AI tools, scripts, and product features.

As an Applied AI Engineer, you'll develop user-facing AI features, collaborate with PMs and designers, and push AI innovation to production impacting millions of users.

As a Senior Applied AI Engineer, you will develop and deploy machine learning models, improve system performance, and drive AI initiatives at Databricks.

As an AI Engineer, you will develop and deploy AI-driven applications using Microsoft technologies, support intelligent solutions, and collaborate on data optimization workflows while ensuring security and compliance best practices.

As a Principal AI Engineer at DataCamp, you will build and evolve an AI tutoring system, collaborate cross-functionally, run experiments, and contribute to a culture of continuous learning.

The AI Engineer will build and deploy AI/ML/DL models, prepare datasets, test and evaluate model performance, and deploy solutions using containers, focusing on real-time analytics in remote locations.

As a Data Scientist - AI Engineer, you will apply machine learning and AI to analyze revenue data, forecast trends, and enhance sales strategies, directly influencing business decisions.

Lead the development of AI-driven solutions, design system architecture, build APIs, and collaborate with cross-functional teams to enhance customer experiences at Airwallex.

The role involves optimizing network software for Arm architectures, mentoring customers on performance techniques, and writing reports and documentation.

As a Principal AI Engineer, you'll design AI systems for healthcare, collaborate with cross-functional teams, and enhance care delivery workflows.

Design and implement Generative AI solutions, develop production-grade code, and collaborate with cross-functional teams to drive analytics initiatives and enhance decision-making.

As an AI Research Engineer, you will develop systems for research ideas, build datasets, implement models, and collaborate on AI capabilities with various teams.

Develop AI-assisted tools for Datadog developers, focusing on generating tests, fixing bugs, and improving performance with LLM integration.

Lead DevOps initiatives, design AI infrastructure, develop AI solutions, optimize resources, and collaborate to enhance customer experience.

The Lead AI/DevOps Engineer will drive customer experience by leading DevOps initiatives, managing AI infrastructure, and collaborating with teams for innovative AI solutions.

The Lead AI/DevOps Engineer will lead DevOps initiatives, design AI infrastructure, develop solutions for AI use cases, and optimize cloud resources. They will collaborate with customers, security teams, and infrastructure teams to deliver effective AI solutions.

The Lead AI/DevOps Engineer will manage AI infrastructures, lead DevOps initiatives, and develop scalable solutions while collaborating with customer teams and security departments.

Lead AI/DevOps Engineer responsible for driving customer experience through innovative AI solutions, managing scalable infrastructure, and collaborating with various teams to optimize AI workloads.