Top AI Engineer Jobs

As a Software Engineer (AI), you will design and implement AI systems, manage backend services, and collaborate closely with teams. You need extensive experience with LLMs and backend technologies.

The Data Engineer will develop data platforms, manage ELT pipelines, ensure data quality, optimize Snowflake performance, and collaborate with various teams to support AI initiatives.

Lead the Knowledge Access Team in managing Confluence and adjacent platforms, optimizing data processes for AI integration, and improving content governance.

The Staff Software Engineer will design and optimize control systems for general-purpose robots, focusing on motion planning, state estimation, and robust software frameworks for real-world applications.

Develop and optimize learning-based robotic manipulation control stacks, train robotic policies, and minimize the sim-to-real gap while collaborating with a dedicated team.

The role involves designing and building robotic systems, improving simulation fidelity, maintaining hardware infrastructure, and collaborating with a team on physical AI projects.

Design, implement, and support AI/ML systems, working with business units to optimize workflows and educate staff. Communicate findings to stakeholders and ensure compliance with policies.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

Design and implement AI-powered educational software, focusing on generative AI systems, mentor peers, and ensure scalable, secure architecture.

The Full Stack Developer will design and develop enterprise-grade web applications, focusing on integrating AI technologies and collaborating with cross-functional teams to enhance user experiences.

As a Staff AI-Native Platform Engineer, you'll lead the integration of Generative AI, developing AI-based infrastructure and enhancing developer experiences across platforms.

Develop autonomous AI-driven security testing agents that perform vulnerability assessments in production applications. Collaborate with experts and innovate in offensive security.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

Develop and integrate scalable full-stack applications using various technologies, including AI models. Collaborate with teams for optimal performance and user experience.

As a Senior Staff Engineer, you will lead engineering teams, provide technical solutions, mentor junior members, and drive quality in enterprise applications with focus on voice technologies.

Drive development of AI systems for education, enhancing grading, analytics, and student engagement. Collaborate with teams to architect scalable solutions.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

As an AI Solutions Engineer, you'll advise clients on ML/GenAI best practices, demo products, and strengthen technical and business relationships. Role involves strategizing with sales and collaborating with the product team for client success.

The role involves leading technical directions for recommendation systems and AI initiatives, driving adoption of AI technologies, and mentoring others in system-level thinking.

The Senior Machine Learning Engineer will enhance recommendation systems, employ AI/LLM technologies, and drive AI innovation for content discovery and user engagement.

The Principal Software Engineer will design and implement AI-powered SaaS applications while providing technical leadership and mentoring to the team.

Develop software features and products using AI tools, collaborate with teams, design user interfaces, and engage in quality assurance.

The AI Engineer will develop, deploy, and optimize AI solutions using Google's Gemini, working with machine learning models and data pipelines in a client-focused environment.

As a Founding Engineer, you'll manage the lifecycle of AI systems, optimizing performance and developing pipelines for biopharma marketing.

As a Founding AI Design Engineer, you will design visual assets and collaborate with engineers to create a platform that integrates AI with design workflows in pharma marketing.