Top AI Engineer Jobs

The role involves designing and developing open-source libraries and demo applications that showcase Cerebras' AI Inference capabilities, while contributing to engineering blogs and collaborating with partner teams.

As a Senior Software Engineer at Astronomer, you will build intelligent systems, design data modeling components, and experiment with applied AI technologies while collaborating with R&D teams to enhance data workflows.

The AI Research Engineer will enhance LLM-powered workflows by developing evaluation systems, analyzing data patterns, and integrating research into practical applications.

As a Senior AI Product Engineer at Poggio, you will build scalable platforms, collaborate with teams, and drive product initiatives to deliver AI-driven customer value.

The role involves designing and developing Quizlet's analytical data and ML infrastructure, emphasizing scalability and reliability while collaborating with cross-functional teams.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

The AI Engineer will develop and optimize AI models and high-performance software systems for drug discovery, collaborating with researchers and maintaining infrastructure.

Build and deploy production AI systems for agricultural clients: write Python and SQL production code, develop pipelines, models, agents and dashboards, manage data transformations and quality checks, and own features from concept through deployment.

The DBA/Data Engineer will manage PostgreSQL and MySQL databases, build scalable data pipelines, and integrate AI for automation, ensuring efficient data infrastructure.

The role involves building and maintaining data infrastructure, conducting advanced analytics, and developing AI-enabled systems to drive insights for grantmaking for social change.

The Full Stack AI Engineer will design and maintain AI applications, develop backend services, collaborate with data scientists, conduct code reviews, and advise on AI technologies. The role requires extensive Python experience and the ability to obtain a DHS Public Trust clearance.

The Integration Engineer will build enterprise integrations for AI platforms with Microsoft Graph, focusing on API integration, security, and performance optimization.

The Integration Engineer develops enterprise integrations for AI systems using Microsoft Graph API, ensuring secure authentication and data flows while collaborating with senior engineers for production code implementation.

As Lead Edge AI Engineer, you'll architect edge-AI pipelines, build developer-friendly APIs, optimize performance, and mentor engineers while collaborating on decentralized AI solutions.

The Research Engineer will advance AI and biology research by implementing models, driving projects, and collaborating with teams to solve biological problems.

As an AI Engineer at Quintess AI, you will build and deploy AI agents, enhance voice AI capabilities, and collaborate with customers to solve real problems.

Lead the development of AI-driven workflows by building data pipelines, deploying ML models, and collaborating with cross-functional teams. Mentor junior engineers and contribute to engineering best practices.