Top AI Engineer Jobs

Seeking a Principal Data Architect to lead enterprise data platform development, collaborate with teams, and design scalable data architectures using modern technologies.

The Staff AI Developer will design and scale AI systems for compensation solutions, collaborating with cross-functional teams to deliver impactful, production-ready applications using modern AI/ML technologies.

As a Backend Software Engineer, you will design, build, and maintain backend services and APIs for automated knowledge systems, collaborating with cross-functional teams.

Design, build, and run large-scale backend and data infrastructure; productionize and run experiments on AI/ML models; implement MLOps best practices (versioning, monitoring, alerting); improve model accuracy, speed, and cost; and drive engineering process and culture improvements.

Develop and maintain Geotab's machine learning platforms and generative AI applications, ensuring infrastructure health through monitoring and logging, while integrating telematics data.

Design and implement AI/ML platforms, establish secure connectivity, build CI/CD pipelines, integrate conversational AI, and ensure security compliance in insurance processes.

The Principal Engineer for Generative and Agentic AI will lead the design and development of resilient AI-powered systems for transforming customer interactions and will focus on integrating cutting-edge AI technologies into production-grade applications within the fintech sector.

Develop AI-powered features, manage workflows for systems engineers, integrate language models, and ensure production reliability in collaboration with product teams.

The Data Engineer will modernize Business Intelligence capabilities, design data pipelines, deploy ML solutions, and collaborate across teams to improve data processes.

The role involves designing and deploying AI/ML models, collaborating with stakeholders, and enhancing operational efficiency through innovative solutions.

The AI & Automation Engineer will design and build AI-powered workflows using Workato, partnering with IT and business teams to enhance productivity and operational efficiency.

Lead design and delivery of enterprise AI knowledge bases, RAG pipelines, and AI-ready data platforms on Azure. Build ingestion, vector/graph models, backend APIs, and ML pipelines; mentor engineers and partner with investment teams to operationalize LLM-driven analytics and ensure governance, observability, and performance.

The Research Engineer will design and implement innovative approaches to marketing measurement, build production systems, and develop algorithms to solve complex marketing attribution problems.

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.

Lead the design and deployment of AI systems, mentor teams, manage projects, and collaborate with business stakeholders to implement innovative technology solutions.

Develop and optimize end-to-end data pipelines for autonomous driving, ensure data quality, and support model training through efficient data management processes.

The role involves engineering and deploying AI agents, collaborating with teams on solutions, and managing data flows. The position requires deep expertise in ML technologies and frameworks.

Develop and implement AI and ML systems for Defense and Intelligence sectors, focusing on deployment, scalability, and integration of technologies.

The role involves optimizing GPU kernel performance for LLMs, enhancing deep learning system efficiency, and contributing to agentic workflows.

As a Senior Software Engineer, you'll architect and build software systems for AI-enhanced robotic solutions, ensuring efficient deployment and integration in real-world settings. You'll leverage AI tools to enhance productivity, work collaboratively with engineering teams, and gain firsthand experience seeing your contributions in action.

The Software Engineer, AI will architect and maintain data pipelines, design distributed systems, build AI applications, and collaborate cross-functionally on ML-driven features.

The Lead AI/ML Engineer will develop AI systems, optimize ML models, collaborate with teams, and mentor junior members while ensuring quality in software projects.

The role involves developing AI-driven marketing solutions, optimizing workflows, and collaborating with teams to enhance marketing productivity and operational efficiency.

The role requires designing and optimizing large scale networks, particularly in AI/HPC, while analyzing performance metrics and enhancing systems for training and inference workloads, including significant travel for buildouts.

The Senior Software Engineer (AI Tooling) will create backend infrastructure, design applications for AI integration, and lead technical projects to enhance trading and research capabilities at Garda Capital Partners.