Top AI Engineer Jobs

As a Senior Agentic AI Engineer, you will architect, implement, and deploy AI solutions, optimize ML systems, and develop robust MLOps infrastructure.

The AI Application Engineer will design and deploy AI solutions, integrate them into cloud services, and collaborate with teams to enhance operational workflows.

Lead the architecture and evolution of Granica's distributed data systems, focusing on efficiency, platform reliability, and team mentorship. Collaborate with AI teams and contribute to research in data infrastructure.

The software engineer will build and operate infrastructure for AI agents, ensuring reliability, scalability, and security. Responsibilities include managing LLM services, developing storage systems, and enhancing observability while collaborating cross-functionally.

As a Voice AI Agent Software Engineer, you will build and improve AI voice agents for customer support, focusing on voice recognition and interaction systems. You'll collaborate on software development and enhance AI capabilities while working with cross-functional teams.

As a Software Engineer on the AI Products Team, you'll develop features integrating LLMs, improve AI infrastructure, enhance model performance, and engage with customers to shape user-friendly solutions.

As a Software Engineer on the AI Products Team, you will build features, improve LLM models, develop infrastructure, engage with customers, and shape team culture.

The role involves leading security architecture and development for AI Platform, focusing on cryptography, key management, and machine identity. Collaboration across teams is essential to deliver secure solutions.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

The AI Engineer will focus on building AI experiences, deploying models, and enhancing data workflows, working on greenfield applications. Key responsibilities include feature development, architecture collaboration, and shipping impactful product experiences.

Lead design, architecture, and deployment of end-to-end ML solutions for onboard autonomous driving. Apply foundation-model alignment, unsupervised pre-training, imitation and reinforcement learning, and scale large-model training pipelines. Collaborate cross-functionally, mentor engineers, conduct research, and productionize foundation models for safe, reliable real-world driving.

Design, implement, and deploy scalable ML training and evaluation platforms. Own end-to-end projects, make architectural decisions, drive prioritization, collaborate cross-functionally, and mentor engineers to accelerate autonomous driving model development.

Build and deploy scalable ML training and evaluation platforms, drive technical projects and architectural decisions, collaborate with partner teams, prioritize platform improvements, ensure reliability and performance, and mentor junior engineers.

As a Senior Staff Engineer, you will design, build, and ship AI-powered retirement features, collaborating closely with product and design teams.

Senior individual contributor designing and deploying onboard ML solutions for autonomous driving. Develop models (detection, tracking, trajectory, safe AI), build training pipelines and deployment tooling, translate research into production, collaborate cross-functionally, and mentor engineers.

Design, implement, and deploy ML models for autonomous driving (detection, tracking, trajectory generation). Apply advanced techniques (imitation learning, RL, foundation models), collaborate cross-functionally, and support production ML systems and model deployment.

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.

As a Software Development Engineer, you will enhance sensor features for security in cloud environments, focusing on performance and reliability through collaboration and best practices.

The role involves designing, developing, and optimizing AI microservices, running experiments, and collaborating on scalable architecture for production environments.

Lead a technical team to drive sales strategy for Cloudflare's Developer Platform, mentor architects, enhance product offerings, and collaborate with executives and departments.

The role involves orchestrating AI services, optimizing model inference, ensuring reliability and standardization, and collaborating with AI researchers on deployments.

The role involves designing and implementing AI software solutions, collaborating with various teams, overseeing application support, and managing stakeholder communications.

The AI Engineer will develop AI and machine learning models, analyze data, build NLP applications, and collaborate across teams on scalable solutions.

Design, develop, and deploy agentic AI solutions while collaborating with customers and leading teams. Implement integrations and provide thought leadership.

Develop and implement AI-driven applications, integrating generative AI models and building scalable systems with modern web frameworks and cloud technologies.