Top Remote Artificial Intelligence Engineer Jobs in Chicago, IL

In this full stack role, you will build features around data pipelines and LLMs, create web APIs, and work on analytics tools ensuring data quality and processing capabilities.

The Senior Machine Learning Engineer will design, implement, and maintain machine learning algorithms and systems. Collaborate with teams, manage version control, and integrate AI models into applications, emphasizing speed and regulatory compliance.

Lead a technical team to drive sales strategy for Cloudflare's Developer Platform, mentor architects, enhance product offerings, and collaborate with executives and departments.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

The AI Engineer will lead technical partnerships, craft prompts for AI agents, build evaluation frameworks, and create integration guides for Firecrawl's web data API.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

As a Conversational AI Engineer, you will design and deploy intelligent chat agents, integrate systems, evaluate AI tools, and ensure system performance to enhance customer service.

The apprenticeship combines learning AI and data science at Flatiron School with practical experience by contributing to software projects and collaborating on development tasks. Apprentices will develop skills in code writing, project support, and agile methodologies over a 14-month full-time commitment.

Develop and deliver AI-driven observability features, collaborate with cross-functional teams, and iterate rapidly to enhance user incident response capabilities.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

The Senior AI Engineer will design and build user experiences using Generative AI, mentor teammates, and lead technical decisions in the BigFuture Student team.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

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.

The AI Engineer will design and implement intelligent agent architectures, supervise technical solutions, and collaborate with multiple teams to address business needs.

The Senior Applied AI Engineer will architect and develop backend systems for AI applications, ensuring scalability and integration with LLM APIs while collaborating with product and engineering teams.

The Senior AI Engineer will develop AI-powered solutions to extract structured data from unstructured medical charts, focusing on efficiency, accuracy, and integration with real-world applications.

The Senior AI Engineer will lead the development of a scalable AI platform, creating architecture, AI/ML operations, and mentoring teams while ensuring security and ethical AI practices.

The AI Engineer II will develop and deploy machine learning solutions in healthcare, mentor junior staff, and work on complex data analytics to improve patient care and operational efficiencies.

The AI Engineer will architect, build, and operationalize generative AI and ML solutions, design end-to-end pipelines, and mentor engineers, focusing on scalable data workflows and production-readiness.

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Lead technical design and implementation of AI solutions, integrating AI into GTM workflows and ensuring compliance with standards, while collaborating with various teams.

As a Forward Deployed AI Engineer, you'll architect and deploy AI solutions in diverse environments, ensuring secure and rapid software delivery for defense initiatives while liaising with technical and non-technical stakeholders.