Top AI Engineer Jobs

Lead innovation in data pipelines, develop high-volume services, manage production infrastructure, and ensure quality architecture and code.

The ML/AI Engineer will design hybrid ML systems, focusing on classification, NLP, and optimizing inference pipelines while working closely with founders on technical challenges.

As a Senior Machine Learning Engineer, you will build machine learning models, define processes for AI, and ensure the security of AI systems while collaborating with government sponsors.

Develop scalable full-stack systems for an AI financial agent, build APIs, manage data pipelines, and collaborate on agent integration.

Lead the AI Compute team, overseeing the Kubernetes-based GPU platform lifecycle, enhancing ML engineering efficiency, security, and developer experience.

The Software Engineer (Back End) develops server-side logic and functionality for the Blueflame AI platform, focusing on database management, API development, security implementation, and performance optimization in collaboration with other teams.

The Senior AI/ML Engineer will design, build, and deploy Generative AI and ML platforms, ensuring compliance and high performance. Responsibilities include developing foundational services, overseeing model training infrastructure, and mentoring junior engineers.

Develop AI capabilities using Microsoft tools, integrate AI solutions within enterprise systems, ensure compliance and security, and collaborate with team members for continuous improvement.

Design and build scalable full stack applications integrating AI/LLM workflows and microservices, while leading architectural discussions and collaboration among teams.

The Senior Engineer will innovate and develop AI/ML solutions using Java to enhance customer experiences and exceed expectations.

The Senior Engineer will work on Java and AI/ML projects, driving innovative solutions to enhance customer experiences and operational efficiency.

Collaborate on research projects in generative AI and reinforcement learning, design experiments, create datasets, and contribute to publications.

Design and implement evaluation pipelines for AI models, focusing on user feedback integration and performance optimization in consumer products.

The role involves managing training infrastructure, implementing distributed training algorithms, and collaborating with AI researchers on model training.

The role involves modernizing a .NET Azure application, focusing on performance and scalability while integrating AI development tools and mentoring junior developers.

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.