Top Artificial Intelligence Engineer Jobs in Chicago, IL

Design and build LLM-powered agents for hardware product development. Responsibilities include ensuring effective coordination among engineering disciplines and integrating AI systems with existing tools.

The Staff Site Reliability Engineer will lead AI-driven innovations, automate cloud infrastructure, implement CI/CD frameworks, and maintain operational IT support at Coinbase.

The role involves leading AI product development, enhancing CI/CD frameworks, automating IT workflows, supporting AWS services, and driving cloud security best practices.

As a Staff AI Engineer, you will drive product-centric development of AI technologies, enhance evaluation systems, optimize reasoning strategies, and lead production-grade model tuning while balancing performance and cost.

The AI Engineer will initially function as a Full-Stack Engineer, progressing to integrate AI solutions into products, enhance efficiency, and shape AI application at Sharebite.

Design, build, and evaluate AI systems, focusing on natural language understanding and automation. Collaborate with teams to ensure production quality and performance metrics.

Lead the development of AI solutions on the Salesforce platform to optimize business operations, automate workflows, and enhance organizational efficiency through generative AI.

Design and deliver agentic systems for enterprises, integrating tools and data while ensuring safety and compliance. Collaborate with clients to optimize business workflows and system architectures.

The role involves developing a CoPilot Agent using Copilot Studio and Power Automate to assist users in evaluating technology consulting rate cards by creating PINpoint cases.

As an AI Engineer, you will build AI pipelines, develop document processing systems, and collaborate with clients in regulated industries, contributing to platform architecture.

The AI Engineer will design and build production-grade AI systems focusing on Retrieval-Augmented Generation and managing Large Language Models. Responsibilities include architecting solutions, integrating vector databases, and ensuring compliance in financial services.

As an AI Engineer, you will develop AI capabilities for contract management, including model tuning, natural language processing, and robust system design, collaborating with teams to enhance legal workflows.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

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 Senior Machine Learning Engineer will design, build, and deploy AI agents at scale, enhancing Dropbox Dash's search and organization features. Requires extensive ML experience and proficiency in Python and ML libraries.

Lead the design and implementation of machine learning models and systems for advertising measurement and optimization, collaborating across teams to ensure impactful solutions.

As a Forward Deployed AI Engineer, you will embed with clients to design and deploy AI solutions for fraud prevention and compliance challenges.

As a Staff Software Engineer, you'll develop an AI-first platform, design cloud-native APIs, and collaborate on Site Builder experiences with a focus on scalability and quality code.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

The Senior Security Engineer will assess application security for AI systems, focusing on prompt injection techniques, threat modeling, and client training on AI security topics.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

As a Senior AI Controls Solutions Engineer, you'll operationalize Phaidra's AI solutions for enterprise data center customers, collaborating with teams to model facilities and define product requirements, applying deep knowledge of control systems and AI technologies.

The Senior AI Engineer will build AI evaluation frameworks, design multi-agent workflows, optimize inference performance, and implement RAG systems. Responsibilities also include integrating AI systems with data sources and ensuring quality and reliability in production environments.

The Data & AI Engineer will develop data pipelines, predictive models, and dashboards while collaborating with software teams to integrate insights into engineering processes.

As a Senior Agentic AI Engineer, you'll develop core systems for AI agents, focusing on reliability, observability, and production readiness, working hands-on with distributed systems and orchestration.