Top AI Engineer Jobs

As a Machine Learning Infrastructure Engineer, you will build and maintain infrastructure for ML model training, optimize deployment, collaborate across teams, and improve internal tools for ML workflows.

As an AI-native Software Engineer, you will optimize developer experience and create tools for AI coding to enhance efficiency at Cartesia.

The Product Marketing Manager will drive go-to-market strategies for experimentation products, enhancing customer adoption and coordinating between product, sales, and marketing efforts.

The role involves developing and deploying large language models for healthcare, applying advanced ML techniques, and collaborating with interdisciplinary teams.

The Software Engineer will transform prototypes to production-ready web-based games, enhancing shared game infrastructure and collaborating on technical decision-making.

Design and develop scalable AI capabilities, integrating ML models and APIs. Collaborate with teams to ensure solutions meet security and performance standards in cloud environments.

As an AI QA & Infrastructure Engineer, you'll design and execute test plans, maintain testing environments, track quality metrics, and improve QA processes for Aidaly's products.

The Senior Software Engineer - AI will develop and enhance software systems using AI models, and build machine learning pipelines while ensuring best practices in software engineering are implemented.

Design, develop, and maintain an AI platform; optimize cloud infrastructure; integrate AI with blockchain systems; ensure security; innovate with trends.

As a Senior Full Stack Engineer, you will lead the design and implementation of scalable serverless backend services using Python and AWS technologies, focusing on AI integration and event-driven architecture, while also mentoring team members and enhancing development practices.

Lead the design and implementation of scalable backend services using Python and AWS technologies. Collaborate with teams, implement best practices, and mentor junior engineers while integrating AI tools into the development process.

The Senior Full Stack Engineer will lead the development of scalable backend services using Python and AWS Serverless, mentor team members, and integrate AI tools into the software development lifecycle.

As a Senior Full Stack Engineer, you’ll lead software development, build scalable backend services using Python and AWS, and integrate AI in workflows while mentoring others.

As a Senior Full Stack Engineer, you will lead the development of scalable backend services, work with serverless architectures and AI tools, and mentor junior engineers. Responsibilities include architectural design, code implementation, and ensuring security and performance best practices are upheld.

As a Senior Full Stack Engineer, you will lead software development from design to deployment, focusing on scalable services using Python and AWS technologies, while integrating AI tools and mentoring younger engineers.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As an AI Research Engineer, you will work on developing AI video ad models, collaborating with teams, and contributing to research for publications.

The Frontend Engineer will lead the development of a web application, focusing on architecture, feature development, and testing, while collaborating with other teams and optimizing performance.

Develop and maintain end-to-end ML pipelines on Azure, manage infrastructure as code with Terraform, and optimize deployment processes in collaboration with data and product teams.

As an AI/ML Engineer, you will develop multimodal AI models, focusing on computer vision and agentic capabilities. Responsibilities include data curation, model training, evaluation, and deployment while working with real robotic systems.

The Founding Account Manager will manage relationships with strategic customers, ensure satisfaction and retention, lead account planning, and collaborate with internal teams to drive customer success.

Develop and integrate AI tools through intuitive UIs and dashboards, ensure secure, user-friendly web applications, and collaborate with teams for full-stack solutions.