Top Remote AI Engineer Jobs

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

The Staff AI Engineer will build and deploy advanced AI systems, focusing on Large Language Models and intelligent agents, to enhance user productivity and optimize customer journeys through intelligent automation.

As a Senior AI Engineer, you will build advanced AI systems using LLMs, develop multi-agent systems, and optimize AI features impacting user productivity.

Lead development of production-grade generative AI applications, collaborate with cross-functional teams, and build tools for sales efficiency and customer engagement.

Collaborate to design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems, requiring a strong ML engineering foundation.

As a Staff AI Engineer, you will lead the design and delivery of AI solutions across business functions, focusing on speed and measurable outcomes. You will partner with various stakeholders, drive initiatives from concept to production, and shape technical direction while mentoring junior engineers.

As a Senior AI Engineer, you'll design, implement, and optimize AI models and systems for cybersecurity, collaborating across teams and mentoring others.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

As a Senior Generative AI Engineer, you'll develop AI-powered solutions across sales, customer success, and finance, leveraging advanced AI techniques to enhance workflows and drive innovation in ad tech.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The Director, Distinguished AI Engineer will lead teams to design, develop, and deploy AI solutions, enhancing customer interactions and business operations at Capital One.

Lead Data & AI Engineer responsible for architecting and implementing intelligent analytics for a surveillance cloud platform, requiring strong skills in data pipelines, AI model management, and modern cloud technologies.

As a Staff Software Engineer, you will enhance developer productivity by establishing AI-driven tools, improving processes, and mentoring teams on AI integration and best practices.

As a Forward Deployed Solution Engineer, you will build, deploy, and iterate AI-native solutions in collaboration with customers, enhancing enterprise AI delivery and performance.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

This role involves leading DevOps initiatives, designing scalable AI infrastructure, developing AI solutions, and collaborating with various teams to enhance customer experiences.

As a Lead AI/DevOps Engineer, you will manage AI infrastructure, develop solutions for AI use cases, and collaborate with teams to optimize resources for AI workloads.

Lead DevOps initiatives for AI infrastructure, manage Kubernetes orchestration, develop AI use cases, partner with security, and engage with customers.

Lead the LLM as a Service team to innovate customer experiences, manage scalable AI infrastructure with Kubernetes, and collaborate with security teams to comply with standards.

Lead DevOps initiatives and design AI infrastructure using Kubernetes. Innovate AI solutions, collaborate with security teams, and support customer needs throughout the AI product lifecycle.

The Lead AI/DevOps Engineer will design and manage scalable AI infrastructure, drive DevOps initiatives, and collaborate with teams to deliver innovative AI solutions while ensuring compliance and performance.

Lead AI/DevOps Engineer focused on managing AI infrastructure, driving customer experience strategies, and ensuring compliance with best practices while collaborating with teams to optimize resources.

The AI Engineer will lead research in optimizing OCR and large language models, integrating AI solutions, and collaborating with teams to enhance performance in machine learning applications.

As a Machine Learning Engineer in the Risk AI/ML team, you will design and deploy sophisticated AI/ML models to prevent fraud and improve risk detection processed while leading technical strategies and mentoring team members.

As a Senior Machine Learning Engineer at Coinbase, you will lead the design, development, and deployment of advanced risk detection models while mentoring junior engineers. You'll collaborate on technical roadmaps and apply cutting-edge ML methodologies to enhance security against fraud and scams.