Top AI Engineer Jobs

As a Machine Learning Engineer, you will build agentic systems for autonomous web navigation and complex task completion, integrating LLMs and reinforcing learning.

The Applied AI Engineer will develop AI systems for family caregiving, collaborating with teams to ensure solutions are safe and effective.

The Principal AI Platform Engineer will design and implement AI-augmented SDLC platforms, integrating intelligent automation into software development while mentoring teams and ensuring reliability and compliance.

The Applied AI Engineer will design and develop AI applications, collaborate with product teams, and establish frameworks for AI development at Coupa.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.

As an AI Engineer at Loop, you will develop AI models and features, specifically focused on document extraction, LLM scaling, and backend engineering in a collaborative team environment.

Design, develop, and maintain secure MCP Servers for AI integration, ensuring scalability and system security while managing API integrations and tools for AI assistants.

The AI Engineer II designs and develops generative AI software solutions, oversees architecture, evaluates technologies, and collaborates with teams for project delivery.

The AI Engineer will develop AI-focused proof-of-concepts, leveraging Python and large language models while integrating APIs and handling various data types.

Drive development of AI-powered features, collaborate with cross-functional teams, integrate LLMs, ensure product reliability, and mentor engineers.

The Senior AI Engineer will design and implement scalable AI platforms, integrate LLMs, build robust APIs, and ensure reliable AI services, collaborating across teams.

The Senior AI Engineer at ClickUp will develop and implement AI features, collaborate cross-functionally, and mentor engineers while ensuring reliable AI applications.

Seeking a Staff AI Engineer to build scalable AI platforms using LLMs, optimize performance, and collaborate across teams for innovative solutions.

As an Applied AI Engineer, you'll develop and deploy AI solutions, collaborate with customers, and optimize production systems using Python and SQL. Your role involves driving customer impact through innovative AI technologies.

Implement embedded software on STM32 and M5Stack devices, optimize AI models, manage sensor inputs, and develop reliable on-device systems.

The Senior Full Stack AI Engineer will design, build, and deploy enterprise-grade applications using React and modern backend frameworks, utilizing AI-driven tools to enhance productivity and security.

This role leads data and AI engineering strategies for R&D, oversees a team of engineers, and ensures compliance with regulatory standards while fostering innovation and collaboration across functions.

Responsible for designing and deploying AI solutions, developing ML models, collaborating with teams, ensuring model performance, and adhering to ethical guidelines.

Assist in developing AI-powered applications, support workflows, test APIs, optimize data pipelines, and collaborate with teams to build enterprise AI solutions.

Develops Sutter Health's analytic data infrastructure, ensuring data quality and availability for strategic decision-making, creating scalable data pipelines and improving data processes.

As an AI Developer, you'll enhance engineering productivity by developing LLM-powered tools for code refactoring, test generation, and CI/CD processes, while ensuring production-grade performance.

Lead AI safety strategies for autonomous vehicles, ensuring compliance with safety standards, mentoring teams, and guiding technical projects in AI/ML development for safety-critical applications.

The Senior AI/ML Engineer will enhance developer productivity by improving Python workflows, leading projects, mentoring engineers, and driving best practices.

Develop and deploy machine learning solutions for autonomous vehicles, mentoring engineers and collaborating on model implementations.

As a Staff ML Infra Engineer, you will develop and deploy offboard machine learning solutions for autonomous vehicles, ensuring model integration and performance across teams. You'll build ML infrastructure, implement CI/CD pipelines, support data curation, and mentor engineers.