Top AI Engineer Jobs

The Solutions Engineer partners with various teams to capture requirements, manage agile backlogs, design solutions, and enhance workflows through iterative improvements.

As a Consulting Systems Engineer, you will lead technical pre-sales, design AI and data solutions, and engage with customers to define integrated technology solutions.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

As an AI/ML Engineer, you will design, train, and deploy ML models for flight data analysis, providing actionable performance feedback for pilots.

The Lead Software Engineer will develop and deliver AI-driven claims workflows using Python and Google Cloud, focusing on automation and system optimization.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

The role involves developing AI/ML models to predict organoid growth and optimizing differentiation protocols through computational methods, collaborating with experimental teams.

The Data Engineer III role involves designing and building scalable data pipelines on Azure Databricks, migrating legacy systems, and ensuring compliance with financial regulations, while mentoring others and producing technical documentation.

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

Design and optimize CUDA-backed, large-scale ML training frameworks for scientific applications. Implement kernel-level acceleration, GPU porting, distributed learning, and maintain HPC stacks for atomistic modeling and generative ML while collaborating with infrastructure and research teams.

The Senior Product Engineer will design, build, and deploy AI workflows and growth infrastructure to enhance Cubby's operations and customer experience, driving measurable improvements and adoption across teams.

Lead the strategy and development of AI-driven shopping experiences, focusing on intelligent digital agents for commerce. Collaborate across teams for innovation in automated shopping and ensure data privacy and ethical AI practices.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

As a Senior Software Engineer for AI Applications, you'll develop AI-native features, own backend systems, and ensure performance and safety in AI workflows.

The intern will support benchmarking processes for model evaluation by curating benchmarks, running evaluations, documenting results, and contributing to public demos, influencing AI development at Pathway.

The AI-ML Engineer will develop and deploy production AI solutions using Microsoft Azure, collaborate with teams, and ensure data quality and compliance.

The Sr. Staff Software Engineer will design and implement scalable systems for Conversational AI and automation, collaborating with teams to deliver solutions, mentor engineers, and ensure system reliability.

The Staff AI Research Engineer, Perception will develop and deploy advanced perception models for robotic systems, focusing on object detection and scene understanding, optimizing for real-world performance.

The Senior Backend Engineer will design and implement core services and AI infrastructure, create REST APIs, and develop ingestion pipelines while collaborating with cross-functional teams to enhance the AI platform for hardware product development.

This role involves building production-grade React applications with TypeScript, developing a component library, collaborating on API integration, and shaping frontend architecture for an AI-powered hardware product platform.

The AI .NET Developer will lead the development of secure web applications using .NET, participate in Agile practices, and perform software analysis and design.

The Senior AI/ML Engineer will optimize data pipelines, develop AI systems, collaborate with teams, and ensure data accuracy. Requires extensive experience in machine learning and AWS.