Top Artificial Intelligence Engineer Jobs in Chicago, IL

The Technical Operations Engineer III role focuses on leading AI solutions, integrating LLM-based technologies, mentoring team members, and ensuring the performance and quality of AI applications.

The Principal AI Data Engineer is responsible for designing and operating AI-driven data platforms, focusing on Snowflake and LLM integrations, while leading technical initiatives and mentoring teams.

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.

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

Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.

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 Gen AI Engineer will lead the design and development of AI projects, focusing on data management, LLM models, and model governance with a strong programming background in Python.

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

Lead the development of AI systems, focusing on LLM-based agents and integration with real-world APIs, overseeing design and deployment across products.

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.

As a Lead AI Engineer at Aprio, you will design, develop, and deploy AI solutions, implement MLOps practices, and collaborate with teams to identify AI use cases, while leading junior engineers.

Seeking a Staff Software Engineer to lead platform architecture and development for AI-powered patient communication tools, mentoring engineers and driving technical excellence.

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.

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.

The AI Engineer will develop and deploy AI initiatives, ensuring high-quality execution and client satisfaction while collaborating with cross-functional teams.

The Software Engineer will develop voice AI features, enhance LLM model performance, build infrastructure, and collaborate with teams and customers to improve the voice AI platform.

As a Software Engineer on the AI Products Team, you will develop new features and improve LLM model results while engaging with customers and shaping team culture.

As an AI Engineer, lead the design and implementation of AI solutions in life sciences, focusing on model development, explainability, and collaboration with product teams to improve processing of complex data.

Lead the design and delivery of agentic systems, integrating enterprise tools and data while ensuring security and compliance. Collaborate with clients to optimize business workflows and develop reusable components.

The Staff AI Engineer will develop generative AI systems for real estate and insurance, ensuring operational efficiency and regulatory compliance while collaborating cross-functionally.

As a Sr. AI Engineer, you will develop AI capabilities, optimize model behaviors, train agentic models, and ensure production-ready code while collaborating with engineering teams.