Top AI Engineer Jobs

Design and build machine learning infrastructure for deep-learning models, collaborate with research scientists, and develop data engines for training data.

The role involves architecting and deploying Azure infrastructure, developing APIs with Python, managing the deployment lifecycle, and integrating AI services for a telecommunications client.

The role involves profiling and optimizing AI workloads on GPU and CPU clusters, focusing on performance analysis, benchmarking, and high-performance networking.

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.

The Full Stack AI Engineer will integrate AI capabilities into PerfectServe's platform, design AI architecture, build production features, and advise on AI solutions, with a focus on improving healthcare communications and outcomes.

Develop and implement AI solutions, collaborating with teams to transition research into production, while staying updated on innovations in AI/ML.

Conduct performance analysis on AI workloads for large GPUs and CPU clusters focusing on deep learning, networking, and optimization. Collaborate with teams to define performance expectations and test plans.

Lead end-to-end delivery of AI-powered finance applications: design intuitive UIs, integrate and secure AI microservices, translate low-code prototypes into production systems, collaborate with finance stakeholders, and evaluate platform capabilities to improve workflows.

The role involves creating technical content and demos for AI applications in Supply Chain, collaborating with engineers, and training developers.

Lead development of AI-driven solutions for timing and constraint analysis in EDA, integrating data sources and creating autonomous analysis agents.

Airbnb seeks a Staff Software Engineer for the Dev AI team to develop AI-based tools for enhancing developer productivity and infrastructure. Responsibilities include shaping AI strategies, making architectural decisions, consulting on AI adoption, and ensuring high engineering standards while participating in operational excellence.

As a Sr. Staff Software Engineer at Visa, you'll design and build scalable software solutions for complex payment systems, collaborate with teams, and mentor others. You'll work with cutting-edge technologies in e-commerce, data architecture, and innovation.

The Senior Software Engineer will develop AI infrastructure for enhanced developer productivity, making architectural decisions and supporting teams in AI tool adoption.

As a Senior AI Cloud Platform Engineer, you will develop and manage cloud platforms for AI applications, utilizing GenAI engineering skills and infrastructure as code principles, while supporting operational tasks and collaborating with teams.

The Lead AI Cloud Platform Engineer develops and operates Allstate's cloud application platforms, focusing on AI solutions using Azure, AWS, and Google technologies while mentoring junior team members and delivering innovative solutions.

The Principal AI Compiler Engineer will design and implement AI compiler toolchains, optimize neural network execution on SoCs, and collaborate with teams to enhance hardware-software co-design.

The Business Excellence Engineer role involves supporting continuous improvement using Lean and Six Sigma, identifying waste, reducing process variation, and promoting a culture of excellence.

Lead the design and implementation of AI-driven networking solutions, mentor teams, and analyze complex data to improve network performance.

The role involves designing AI systems for IC calibration and optimization, collaborating with design teams, and applying ML techniques to analog/mixed-signal circuits.

The Lead AI Software Engineer will design and implement AI/ML solutions in healthcare, managing product delivery, MLOps, and ensuring HIPAA compliance.

The Senior AI-Native Web Application Engineer will design and build scalable web applications for analytics, integrate with backend services, and collaborate with teams to deliver AI-driven user experiences.

The AI/ML Engineer will develop synthetic training data, train and optimize AI models, and deploy them on constrained platforms, integrating solutions into robotics systems.

The AI/ML Engineer will design, implement, and optimize machine learning systems, particularly in NLP and Generative AI, while collaborating with a distributed team.

The Lead AI Safety and Enablement Engineer develops and implements AI safety tools and frameworks, ensuring responsible AI practices and compliance with policies. This role involves collaboration across departments to integrate safety checkpoints and uphold quality management standards.

The role involves designing and implementing AI solutions on the LPL Data Experience platform, automating governance, reconciliation, and lifecycle management processes. It requires strong collaboration, innovation, and integration of AI with UI and backend systems.