Top AI Engineer Jobs

The role involves building AI infrastructure to support healthcare applications, mentoring engineers, defining technical direction, and ensuring system reliability and scalability in production environments.

The Senior Software Engineer will help develop AI solutions to improve healthcare access, working in a hybrid model within an entrepreneurial team.

The Senior Software Engineer will explore AI solutions in healthcare, having experience in full-stack/backend development and startup culture.

Develop AI-powered features for patient care, design workflow agents, and collaborate on production AI systems to improve healthcare outcomes.

Responsible for leading architecture and development of microservices, ensuring efficient solutions, mentoring team members, and implementing improvements in technology and processes.

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

The Principal Machine Learning Engineer will lead AI/ML product development, drive innovation, and collaborate across teams to enhance machine learning frameworks.

The role involves designing, developing, and deploying machine learning models and systems, collaborating with engineers and product teams to ensure reliable and scalable solutions while mentoring junior engineers.

Develop AI agents for data management, build integrations and pipelines, and enhance agent performance through observability and evaluation frameworks.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The AI-Forward IT Support Engineer leads the support team, manages Microsoft environment, utilizes AI tools for solutions, and aids employees in using AI resources.

Lead innovations in data pipeline infrastructure, develop high-volume data services, and collaborate with engineers on architectural designs and documentation.

Design and implement technology architecture and solutions for managing data from various sources, utilizing AI and ML techniques to improve data quality and generate insights.

Develop and implement AI-driven integrations and low-code solutions for HR, utilizing tools like Java Spring Boot, Copilot, and RESTful APIs to enhance HR processes and improve data hygiene.

The Software Engineer will design, build, and implement full-stack applications using C# .NET and Next.js, while collaborating with multiple departments to address internal pain points through AI-driven solutions.

The Sr. Software Engineer in AI-Native will lead efforts in optimizing CI/CD, crafting AI-native testing strategies, managing developer tooling, and enhancing API experiences for internal and external developers.

Lead AI Software Engineer responsible for designing and implementing Generative AI platforms, ensuring cloud integration and automation, and leading software engineering teams while engaging with various stakeholders.

As a Senior AI Engineer at Klaviyo, you will design and build scalable backend systems and AI solutions, collaborating with product managers and engineers to enhance AI technologies for optimizing customer experiences.

As a Senior AI Engineer, you'll design and build generative AI applications, deploy AI/ML solutions in cloud environments, and mentor team members while ensuring successful project implementation.

The Lead AI Engineer will develop AI solutions, partner with cross-functional teams, and optimize large-scale production AI systems using various technologies.

The role involves designing, developing, and optimizing AI software components, collaborating with cross-functional teams, and contributing to the technical vision of AI systems at Capital One.

Lead the development of AI systems, collaborating with cross-functional teams to create AI-powered products and optimize AI technologies for performance and scalability.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

The role focuses on applying data engineering and MLOps to enhance AI-enabled ADME science, automating workflows, and preparing datasets for machine learning.

The role involves leading the development of AI solutions, mentoring other engineers, and delivering robust cloud-based solutions in a collaborative environment.