Top Remote Artificial Intelligence Engineer Jobs in Chicago, IL

As an AI Engineer, you will develop generative AI models, collaborate with teams to integrate AI solutions, and enhance AI capabilities.

Lead development of AI-powered product features, establish AI architecture, partner with teams for customer-facing features, and create reusable patterns and tooling for AI feature development.

The AI Engineer will develop and implement AI solutions to enhance revenue cycle management, focusing on innovation and analytics to support healthcare systems.

As a Senior Generative AI Engineer, you will evolve a GPT-based chatbot and design ML systems to improve health outcomes, collaborating with cross-functional teams.

Design and implement advanced multi-agent AI systems for logistics, enhance automation, and oversee system performance and reliability.

As an AI Engineer, you'll engage with customers to understand their needs, deploy AI models, and create scalable systems to enhance customer workflows.

The Staff AI Engineer will develop AI-powered features, collaborate with teams, ensure performance in production, and mentor engineers.

Drive the development of AI-powered features, collaborate cross-functionally, and ensure performance reliability in a production environment.

The Staff AI Engineer will build a platform for creating and managing AI agents, integrating LLMs and ensuring scalability while addressing compliance and privacy scenarios.

The Staff AI Engineer will design and implement scalable AI platform services, applying LLMs to enhance product features and ensure system reliability and security.

As a Senior AI Engineer, you will build and enhance ClickUp's AI platform, integrating large language models, developing backend systems, and optimizing performance while ensuring security and compliance.

Develop and implement advanced AI agents and conversational platforms using Microsoft Copilot Studio, focusing on automation and customer engagement optimization.

Lead the design, development, and deployment of intelligent agents and conversational platforms enhancing operational performance and customer engagement using AI technologies.

Help build production-ready Intelligent Automations and Agentic AI solutions for enterprise clients, focusing on automation tools and advanced AI models.

The Staff ML Engineer will develop Voice AI solutions for Toast's platforms, collaborate with teams to optimize models, and mentor junior engineers.

As a Staff Machine Learning Engineer, lead AI initiatives, optimize ML models on Edge devices, and work with petabyte-scale data. Collaborate across teams to enhance product features and drive customer success.

The role involves building AI-enabled features for a software coaching platform, developing data pipelines, and integrating multiple tools. The engineer will work closely with coaching teams, educate peers on data practices, and contribute to a collaborative product-focused environment.

As a Founding Backend Engineer, you will design and develop the backend infrastructure for Robyn AI, focusing on emotional intelligence systems, API design, and AWS deployment.

Join Fay's AI Team to develop innovative AI features, curate and process data, train and evaluate models, and provide technical leadership.

Lead the development of AI decision intelligence systems. Architect and implement scalable AI solutions, collaborating with multidisciplinary teams to enhance patient care.

Develop and deploy AI models optimized for edge devices, collaborate with teams to enhance performance, and leverage machine learning frameworks for real-time applications.

As a Senior Machine Learning Platform Engineer, you'll mentor junior engineers, optimize ML pipelines, and enhance system performance for machine learning models.

As an AI Integration Engineer, you will integrate AI models into Vetcove's products, enhancing functionalities and collaborating with teams for optimal performance.

As an Applied AI Engineer at Warp, you'll design and deploy predictive AI features, enhance code generation, and optimize AI models to improve developer interactions and effectiveness within their environment.

Lead AI projects by collaborating across teams to develop algorithms, analyze data, and deliver customer value. Promote best practices and ensure outputs align with business goals.