Top AI Engineer Jobs

Design, build, and operate the orchestration layer for agentic AI in a security platform. Responsibilities include developing reliable services and optimizing performance while collaborating with cross-functional teams.

The Senior AI Engineer will implement AI solutions, consult stakeholders, lead projects, and ensure integration of cutting-edge AI technologies to meet business goals.

As a Senior AI Engineer, you'll implement AI solutions, facilitate customer workshops, lead development projects, and align strategies with business objectives, utilizing Azure and OpenAI technologies.

As a Backend Engineer, design and operate core services for an AI platform, managing backend systems, APIs, and cloud infrastructure while collaborating with AI/ML engineers.

As an AI Engineer, you will develop and optimize AI solutions, mentor team members, and collaborate on projects while ensuring system scalability and reliability.

The AI Engineer will design and develop innovative frameworks for trading and research, conducting large-scale experiments and collaborating with a team on foundational models and cloud platforms.

The role involves designing and supporting GPU/Kubernetes clusters for AI/ML workloads, developing automation tools, and troubleshooting infrastructure issues.

Design, develop, test, and maintain software applications; lead AI projects; guide junior developers; manage CI/CD processes; ensure high-quality software solutions.

The Senior Applied AI Machine Learning Engineer will develop MLOps services for the Claims Data Science team, focusing on AI solutions, model deployment, and collaborating with various teams to enhance capabilities.

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.

The Senior Math Libraries Engineer will design, develop, and optimize HPC software for AI and matrix operations, while leading projects and mentoring. Collaboration with various teams and technical leadership are key responsibilities.

Design, develop, and maintain engineering solutions to validate, monitor, and operate GPU clusters for ML researchers. Research and apply AIOps/Agentic AI to reduce operational toil, enable self-service reliability and performance improvements, and participate in on-call support for platform systems.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

The Principal Software Engineer will architect and build core platform systems for Physical AI development, focusing on high-performance data services and collaboration with AI and Robotics teams.

Design and maintain context pipelines, optimize prompts, develop internal tools, and mentor junior engineers while staying current with LLM research.

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.

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

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

As a Software Development Engineer (AI/ML) Intern, you will work on real-world projects, collaborating with peers to design and develop scalable systems, while enhancing your programming and problem-solving skills.

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 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.

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.

Seeking a Senior Research Engineer to develop evaluation frameworks and benchmarks for AI-driven CUDA programming, contribute to AI research, and collaborate on tool development.

The role involves collaborating on AI GPU deployment, optimizing performance, mentoring engineers, and improving user experience on NVIDIA RTX platforms.

Collaborate on power optimization for NVIDIA's GPUs and networking chips using AI and RTL techniques to improve power efficiency.