Top AI Engineer Jobs

Lead a team of developers to deliver AI-driven data solutions, utilizing AWS, Python, SQL, and big data technologies while collaborating across Agile teams.

As a Lead Software Engineer on the AI Platform Team, you will design and develop GenAI platforms, mentor peers, and integrate AI technologies into scalable solutions.

The Lead Software Engineer will architect and develop a scalable AI platform, mentor peers, and integrate generative AI solutions into enterprise applications.

Lead the development and implementation of machine learning algorithms, guiding teams and ensuring effective AI integration across Atlassian products.

The role involves designing and building AI features for Dropbox's core experience, collaborating across teams, and developing user journeys.

Join Notion as an AI Product Engineer to develop AI-powered features for the database block, collaborating with cross-functional teams to enhance user experience and functionality.

Lead DevOps initiatives and design AI infrastructure using Kubernetes. Innovate AI solutions, collaborate with security teams, and support customer needs throughout the AI product lifecycle.

Lead DevOps initiatives for AI infrastructure, manage Kubernetes orchestration, develop AI use cases, partner with security, and engage with customers.

Lead AI/DevOps Engineer focused on managing AI infrastructure, driving customer experience strategies, and ensuring compliance with best practices while collaborating with teams to optimize resources.

Lead the LLM as a Service team to innovate customer experiences, manage scalable AI infrastructure with Kubernetes, and collaborate with security teams to comply with standards.

The Lead AI/DevOps Engineer will design and manage scalable AI infrastructure, drive DevOps initiatives, and collaborate with teams to deliver innovative AI solutions while ensuring compliance and performance.

As a Lead AI/DevOps Engineer, you will manage AI infrastructure, develop solutions for AI use cases, and collaborate with teams to optimize resources for AI workloads.

Design and build web applications using React and TypeScript, lead development on Spruce and Parsley, collaborate with backend engineers, and mentor team members.

Lead the development of full stack solutions, focusing on AI innovations and improving developer experiences while managing a technical team.

Design and develop AWS cloud solutions focusing on AI and compute services, managing infrastructure, and ensuring security, while collaborating with stakeholders.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

Lead software engineering projects and mentor junior staff while delivering innovative solutions. Oversee large-scale systems and enhance operational processes.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

As an AI Copilot Software Engineer, you'll develop features for customer support AI, enhancing agent efficiency and experience through innovative solutions and performance optimization.

The role involves designing scalable AI/ML infrastructure, optimizing model training processes, and collaborating with teams to enhance platform capabilities.

The role involves designing and implementing features for AI agents, maintaining SDKs, and collaborating on automation projects. The candidate should have extensive backend experience and facilitate third-party integrations.

As a Senior Software Engineer, you will develop and test AI-driven systems, architect frameworks, orchestrate workflows, and collaborate with teams to enhance professional services delivery.

The Senior Mobile Engineer will develop mobile apps for iOS and Android, collaborating with teams to deliver impactful features and shaping engineering practices from a new codebase.

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.

Lead the development of AI products at FloQast, architecting scalable systems and ensuring integration with multiple technologies, while providing mentorship to the AI team.