Top AI Engineer Jobs

The Integration Engineer manages data integration across Shopify and APIs, develops reliable data pipelines, and collaborates with teams to optimize data-driven workflows.

The Mid-Level Software Engineer will design, implement, and optimize AI infrastructure, support production AI services, and mentor junior engineers.

Develop computer vision and machine learning solutions, research algorithms, work with product teams to collect datasets, and balance research with production code.

As a .NET Developer (AI), you will design enterprise applications with AI capabilities, optimize agent behavior, and collaborate across teams to drive innovation in solutions.

Lead the development and management of AI infrastructure, ensuring optimal performance of systems and providing mentorship to engineers while deploying advanced AI models.

Build infrastructure for AI/ML environments, collaborate with teams for improvements, and interact with customers to enhance product features.

The Senior Software Engineer will design and build infrastructure for ML model training and deployment, focusing on AWS technologies, reliability, and collaboration with ML teams.

As a Lead AI/ML Engineer, you'll develop and maintain ML/AI optimization solutions, mentor engineers, and collaborate on innovations. You'll manage projects from prototyping to production, ensuring high-quality technical execution in a cross-functional environment.

Drive technical sales and customer success for AI companies, owning implementation and providing effective solutions for usage-based billing.

As an AI Product Engineer, you'll lead the development and integration of AI products using LLMs and other technologies while collaborating with cross-functional teams.

The Software Engineer will develop and prototype AI products using Gemini models, collaborating with teams to translate research into tangible features, leveraging full-stack engineering skills.

As a Software Engineer for Google's AI Studio, you will design and develop iOS mobile applications, focusing on AI-powered software and rapid prototyping. Collaboration with product managers and UX for innovative solutions is key in this fast-paced environment.

Lead technical initiatives for AI-powered productivity tools, improve workflows, and mentor teams to enhance software development through AI enablement.

Lead development of innovative frontend features for PMG's AI-powered tool, Alli, mentoring teams, and ensuring high-quality applications.

The AI/ML DevOps Engineer will initiate AI/ML initiatives, develop large language models, support CI/CD pipelines, and collaborate with team members to enhance data comprehension for customer missions.

Lead the design and development of machine learning solutions, overseeing the entire software development lifecycle and mentoring engineers. Drive innovation in Generative AI and high-performance systems.

As an MLOps Engineer, you will scale machine learning products, manage training and deployment pipelines, and improve DevOps processes.

The Palantir Platform Engineer designs and implements automation solutions within the Revenue Cycle group, focusing on optimizing workflows and operational efficiency through Palantir's ecosystems.

The AI/ML DevOps Engineer will develop algorithms, build predictive analytics, and maintain CI/CD pipelines to support AI/ML initiatives for customers.

As a Senior AI Engineer, you will design AI solutions, collaborate with clients, write production code, and support business development.

Lead the development and implementation of AI solutions for enterprise customers, focusing on agentic AI systems, performance optimization, and customer engagement.

Design and validate high-speed interconnects for AI systems, defining requirements and performing reliability testing for copper and optical technologies.

The Application Engineer will support automation in security evaluations, implement new processes, and integrate large language models into business systems with a focus on efficiency.

The AI Cloud Engineer will design and operate AI solutions on AWS, supporting GenAI platform development, engineering robust capabilities, and collaborating across teams to optimize cloud infrastructure and services.

As a Senior/Lead AI Software Engineer, you will develop intelligent agents for supply chain tasks, drive architectural decisions, lead technical strategies, and collaborate across teams while mentoring engineers.