Top AI Engineer Jobs

The AI/ML Engineer will develop AI/ML solutions, drive business impact, and collaborate across teams to enhance profitability through advanced analytics.

The Partner Solutions Architect will drive technical engagement with systems integrators, maintaining relationships with stakeholders to ensure successful AI solutions deployment and delivering strategic guidance.

Design and implement AI-native backend infrastructure, build high-throughput systems for machine learning, and collaborate across teams to enhance AI applications.

As an AI/ML Ops Engineer, you will architect and operate ML pipelines, automate CI/CD processes, and collaborate with cross-functional teams to enhance engineering productivity.

The AI Search Engineer will design and implement Azure AI Search solutions, create search experiences using semantic ranking and vector search, and develop user-friendly interfaces for legal tech.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.

As a Senior Machine Learning Engineer, you'll enhance Moveworks' NLU and AI capabilities, improve user experiences, and develop innovative solutions using machine learning and advanced NLP techniques.

As a Senior Software Engineer II, you will optimize a Generative AI product, focusing on scalability, API design, and collaboration with cross-functional teams.

As a Senior Machine Learning Engineer, you'll enhance NLU capabilities, design algorithms, and push AI performance while ensuring responsible AI practices.

Develop and optimize AI-driven solutions for healthcare automation, integrating features, and collaborating with engineers to address business needs.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

Design and develop core backend services and APIs for the Cerebras Inference Platform, ensuring ease-of-use, robustness, and reliable performance for ML workloads.

Design and analyze circuits for AI silicon, focusing on circuit design, power simulations, and optimizing performance.

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

The Senior Software Engineer will innovate in AI, lead software development lifecycle, design microservices, mentor peers, and ensure engineering excellence.

Seeking a Senior AI/ML Engineer with expertise in machine learning frameworks to support a U.S. Government customer on critical software systems.

The Staff AI Infrastructure Engineer will design, automate, and manage scalable infrastructure for AI model deployment, ensuring security compliance and performance optimization.

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.

Design and build features that enhance user capabilities with AI, focusing on innovative interaction and integrating research insights into products.

Design and implement AI-powered automation systems, build scalable backend services, make architectural decisions, and collaborate with product and data teams.

As a Software Engineer II, you'll secure AI features at Amplitude by implementing and optimizing backend services, collaborating with teams, and leading technical discussions.

The AI Full Stack Developer will create technical solutions, support various environments, and ensure integration and delivery automation while leveraging data for improvements.

Design and optimize data infrastructure, develop scalable ETL pipelines, manage cloud-native solutions on AWS, and mentor junior engineers.

Design and optimize Triton kernels for AI workloads, analyze performance metrics, and collaborate on hardware-software co-design to enhance next-generation AI systems.