Top AI Engineer Jobs

Develop and deploy full-stack applications using modern technologies, optimize for performance, mentor engineers, and leverage AI tools.

Develop and maintain WordPress websites while implementing AI solutions to enhance workflows and streamline processes. Collaborate with teams to identify AI integrations.

As a Senior QA Engineer, you'll develop and automate test cases, leverage AI for enhanced QA processes, and collaborate cross-functionally to ensure quality standards in product development.

Build infrastructure for AI applications, improve efficiency of distributed AI workloads, and collaborate with cross-functional teams at Databricks.

Join a remote-first company focused on customer satisfaction and innovation in IT and Security, by collaborating with motivated team members.

This role involves designing, installing, and supporting robotic solutions, working with customers and sales, and creating educational materials.

Design and implement solutions for a scalable AI platform. Troubleshoot technical issues and ensure software quality through testing and architecture improvements.

As a Senior QA Engineer, you'll ensure quality and reliability in educational platforms by leading testing efforts, integrating AI tools, and managing defects. You'll analyze requirements, design tests, validate AI features, and document processes, contributing to improved educational outcomes.

The AI Sales Engineer is responsible for driving new business through expertise in AI, automation, and data-driven solutions, delivering demonstrations, and supporting customer onboarding.

As a Forward Deployed Engineer, you will deploy, optimize, and scale AI inference systems, collaborating directly with customers to enhance performance and solve infrastructure challenges on Kubernetes clusters.

Develop and deploy machine learning models for healthcare, collaborate on data pipelines, improve performance, and mentor juniors.

The Senior AI/ML Engineer designs and implements AI/ML solutions to enhance profitability, while collaborating across teams and communicating insights to business leaders.

The role involves leading a team to design, develop, and implement AI-driven applications on the ServiceNow platform while managing all aspects of application development and integration with other systems.

The role involves engineering analysis and technical support for electric power grid operations, focusing on system modeling, data analysis, and tool development.

Responsible for leading a team of engineers and building scalable backend services for data processing, discovery, and lineage systems using cloud ETL technology.

Lead the development of AI/ML models and platforms, managing cross-functional teams, enhancing technical capabilities, and identifying new business opportunities.

The Machine Learning Engineer will build and maintain ML infrastructure for the US Insurance AI team, collaborating with Data Scientists and AI Engineers to optimize existing systems and support rapid deployment of production-ready models.

As a Software Engineer in Data Acquisition and Web Crawling, you'll design large-scale systems for processing data and manage cloud computing workloads.

The Senior Software Engineer - AI Platform will lead AI development and implementation, design AI tools, and build scalable AI solutions for business challenges.

As Lead Edge AI Engineer, you'll architect edge-AI pipelines, build developer-friendly APIs, optimize performance, and mentor engineers while collaborating on decentralized AI solutions.

The AI Engineer will develop and optimize AI models and high-performance software systems for drug discovery, collaborating with researchers and maintaining infrastructure.

The Software Engineer II - AI Enablement will develop and implement AI tools and solutions, engage with teams for AI adoption, and enhance workflows through AI.

The Research Engineer will advance AI and biology research by implementing models, driving projects, and collaborating with teams to solve biological problems.

As an AI Engineer at Quintess AI, you will build and deploy AI agents, enhance voice AI capabilities, and collaborate with customers to solve real problems.

Lead the development of AI-driven workflows by building data pipelines, deploying ML models, and collaborating with cross-functional teams. Mentor junior engineers and contribute to engineering best practices.