Top AI Engineer Jobs

The Staff IT Engineer will lead AI enablement by developing tools, integrating systems, automating workflows, and enhancing business productivity across Openly.

Lead the development of JumpCloud's AI platform, focusing on architecture, AI model integration, and mentoring engineers while ensuring operational excellence and customer satisfaction.

As a Software Engineer for the AI Platform, you will design, develop, and implement scalable applications, focusing on AI-driven systems and platform engineering, while collaborating with cross-functional teams.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

As a Senior Software Engineer, you will design and implement AI agents to automate DevOps and DBA workflows, ensuring agents operate safely and effectively in real infrastructure environments.

Design, train, optimize, and deploy efficient on-device ML models (audio and vision) for resource-constrained products; maintain Ambiq ADKs; port and optimize customer models; apply model-efficiency techniques; produce customer-facing demos, docs, and benchmarks.

The Developer Relations Community Manager will engage AI developers, create technical content, manage community operations, and drive advocacy and adoption for Runpod's AI infrastructure platform.

Lead a team of developers in creating cloud-based solutions using modern technologies, while mentoring peers and collaborating with product managers.

The AI/ML Engineer will implement and maintain RAG pipelines, integrate LLMs with APIs, develop REST APIs, and refine Postgres schemas, requiring a TS/SCI security clearance.

The AI/ML Engineer will develop and maintain RAG pipelines, integrate LLMs into applications, manage REST APIs, and enhance Postgres schemas while requiring active TS/SCI security clearance.

The AI/ML Engineer will implement RAG pipelines, integrate LLMs, maintain REST APIs, and design Postgres schemas for enhanced data management.

The Principal Software Engineer will lead AI software architecture for vehicle smart cabin features, optimize and implement machine learning models, and mentor teams.

Lead the design and deployment of AI agents, drive technical direction, collaborate with teams, conduct reviews, and improve technology stack.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

Lead the evolution of HR tech by integrating Workday with AI-driven solutions, developing automated workflows, and ensuring user experience across HR systems.

The Senior Engineer will architect self-healing infrastructure, design AI orchestration workflows, automate incident resolution, and establish AI best practices, focusing on Generative AI and observability.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

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.

Design and develop AI solutions, manage data flow for AI deployment, optimize models, and conduct data analysis on large datasets for operational improvement.

The AI/ML Engineer designs and develops AI solutions, optimizes models, manages data flow for deployment, and conducts data analysis to enhance operational outcomes for mission operations.

Lead the technical strategy for developer tools in a financial services company, focusing on AI-enabled development practices. Responsibilities include architectural design, mentorship, and driving innovation in software development.

As a Software Engineer, you'll build AI-driven product experiences for scientists, optimize user onboarding, and analyze data to drive growth and retention.

The AI Applications Engineer will prototype AI-driven solutions, collaborate with stakeholders, and create reusable components to address business challenges.

The Staff Cyber Security Engineer will lead security architecture for AI systems, ensuring secure designs and compliance with industry standards while mentoring junior team members.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.