Top AI Engineer Jobs

As a Staff AI Engineer on Cortex Code Quality, you will define agent behavior and build quality systems for AI coding agents, leading cross-functional teams and ensuring dependable quality in production.

The role involves owning the AI engineering lifecycle for Cortex Code products, including feature development, context engineering, and collaboration with product and infrastructure teams. Responsibilities include designing evaluations, conducting experiments, and improving AI features.

The AI Engineer II will design, develop, and maintain AI-powered applications, ensuring alignment with client needs while managing technical components and mentoring junior staff.

As a Product Engineer in Applied AI, you will guide customers in adopting AI models, providing technical solutions and architecture advice while collaborating with internal teams.

The Principal AI Engineer will build and improve the core AI tutoring system, design evaluation methods, and collaborate on pedagogical goals, driving innovation in learner experiences.

Build and evolve an AI tutoring system, run evaluations, design software, collaborate with teams, and ensure quality through testing and refinement.

Responsible for building and evolving an AI tutoring system, running experiments, collaborating with teams, and ensuring quality in model behaviors.

As a Principal AI Engineer, you'll build and evolve AI tutoring systems, run experiments for learning effectiveness, design software, collaborate across teams, and prototype AI interactions.

As an AI Engineer, you will create a unified evaluation infrastructure for AI agents, ensuring reliable performance while integrating automated pipelines and feedback systems for rapid model evaluation and quality assurance.

The Applied AI Engineer will develop AI-powered systems to streamline internal processes, collaborating with various departments to enhance efficiency and automation. This role involves problem ownership, system design, and deploying solutions that leverage AI technology while ensuring user adoption and long-term value.

As a Senior AI Engineer at BioRender, you'll develop AI-driven features, collaborate with cross-functional teams, and prototype innovative solutions to enhance scientific communication.

The AI Operations Manager will drive AI adoption across the business, build custom AI solutions, and enhance workflows to transform the organizational process.

The role involves architecting and implementing LLM-powered tools to enhance developer productivity, automate mundane tasks, and establish best practices for AI integration in development processes.

The Principal Deep Learning/AI Engineer will design and implement AI methods in bioinformatics, ensuring scientific soundness and production readiness while mentoring team members and leading technical design reviews.

As an Applied AI Engineer, you will implement AI capabilities into software products, collaborating with teams to enhance developer experience through LLM features and integrations.

The AI Engineer will develop AI-powered revenue platforms, work on AI infrastructure, approval workflows, and intelligent collections agents, focusing on reliability and customer needs.

The Principal AI Engineer is responsible for the architectural integrity and scalability of AI systems at Lennar, leading the design of platforms and overseeing operational efficiency while ensuring security and governance across AI applications.

You will develop AI systems to automate insurance workflows, mentor engineers, drive rapid AI experimentation, and implement solutions. Requires deep experience in AI/ML development.

The AI Engineer will design scalable APIs and SDKs for AI services, collaborate with AI research teams, and ensure API security and performance. Responsibilities include building processing systems, integrating services, and maintaining documentation.

The AI Engineer will design, develop, and deploy AI applications and automation solutions, focusing on internal productivity. Responsibilities include building AI agents, integrating systems, ensuring compliance, and collaborating with stakeholders on AI strategies.

Develop and deploy autonomous AI agents, design backend services, and integrate AI models with cloud platforms and APIs, ensuring adherence to enterprise standards.

The Applied AI Engineer will design and maintain AI models, collaborate with cross-functional teams, and deliver AI solutions for national security applications.

As an AI Engineer, you will develop and maintain AI systems, optimizing ML algorithms and collaborating with engineers to deliver solutions in national security.

As an Applied AI Engineer, you will develop, deploy, and maintain AI models while collaborating with cross-functional teams to deliver robust solutions for national security.

The AI Engineer will build and deploy production AI systems, collaborate with departments, establish technical patterns, and contribute to the technical roadmap.