Top AI Engineer Jobs

Lead Frontend Engineer responsible for developing high-performance user interfaces, managing a team of junior engineers, and collaborating across teams to enhance AI-driven UI/UX experiences.

Seeking a Senior Software Engineer specializing in AI to develop, optimize, and deploy AI/ML models. Responsibilities include coding, data management, research, collaboration, and mentorship.

Design and build a scalable AI platform focusing on distributed systems and high-performance computing. Collaborate to optimize infrastructure and architecture for dynamic workloads.

As a Data & AI Engineer, you will design and implement AI solutions and ETL frameworks, manage data services, and develop software aligned with business goals.

The role involves designing and implementing Data & AI solutions, managing ETL processes, and building data services to improve customer retention.

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

Design and implement features for Temporal's AI SDK, collaborate with the community, document APIs, and support reliability in AI applications.

The AI Infra Engineer will design, deploy, and optimize AI training and inference infrastructures using Kubernetes and Slurm while developing APIs and managing distributed systems.

This role involves building backend systems for an AI product, collaborating with teams, and mentoring engineers in a fast-paced startup environment.

The Senior AI Platform Engineer will design and implement a scalable AI framework, integrate AI services with data pipelines, and ensure secure deployment of AI agents.

Responsible for designing and maintaining cloud infrastructure with a focus on Kubernetes, building teams for release management, and ensuring application security and cost optimization.

Work as a Senior Software Engineer focusing on AI and data pipelines in healthcare, designing and managing cloud environments and ensuring security and reliability.

As a Senior Full Stack Engineer, you'll develop and implement AI-enhanced features for a CRM platform, collaborating with users, product managers, and ML engineers.

As a Ruby AI Tutor, you will review Ruby code for safety and correctness, solve system-level problems, and summarize decision-making processes.

As a DevOps Infrastructure as Code Engineer, you design and maintain cloud infrastructure, automate processes, and monitor performance for AI applications.

As the founding Backend Engineer, you will design and create autonomous AI agents to automate healthcare workflows, enhance patient care, and collaborate with clinical teams to streamline processes.

As an AI Tools Engineer, you'll prototype and integrate AI tools for clinical research, enhance workflows, and drive team adoption of technology.

Develop intelligent AI solutions for enterprise operations, design robust ML architectures, and mentor junior engineers. Collaborate with teams to deliver results.

Develop and optimize high-performance numerical dense linear algebra software on GPUs, providing technical leadership and collaborating with product management on feature requirements.

The Software Engineer II will design, develop, and implement systems, providing guidance to team members, resolving complex issues, and managing technical specifications.

Design and maintain scalable data pipelines and infrastructure for AI and ML initiatives, ensuring data quality and collaborating with teams to deliver insights.

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

Lead the design and implementation of AI-driven solutions for healthcare platforms, mentor engineers, and ensure compliance with healthcare standards.

As a Senior Software Engineer, you will design and maintain AI infrastructure, ensuring security and scalability while mentoring other engineers and collaborating cross-functionally.

The AI Solutions Engineer will work with ML teams, advising on GenAI/ML best practices, conducting demos, strategic reviews, and partnering with sales and product teams to drive customer success and product development.