Top Artificial Intelligence Engineer Jobs in Chicago, IL

The apprenticeship offers hands-on experience in AI and data science while working on production software projects and participating in a bootcamp.

Participants will complete software development and data science bootcamps while gaining practical experience through a paid apprenticeship, learning real-world coding and collaboration skills.

Design and implement advanced AI/ML models and systems to enhance various applications, while optimizing existing models for performance and efficiency.

The role involves design and development of data solutions using Azure tools, integrating Generative AI, and mentoring junior engineers.

Lead the AI tooling strategy for engineering, enhance developer tools, collaborate with teams, and mentor engineers to improve workflows and productivity.

Design and build intelligent software agents for federal missions, integrating AI technologies and creating full-stack applications in an agile team environment.

Design, develop, and maintain secure MCP Servers for AI integration, ensuring scalability and system security while managing API integrations and tools for AI assistants.

The AI Engineer II designs and develops generative AI software solutions, oversees architecture, evaluates technologies, and collaborates with teams for project delivery.

Drive development of AI-powered features, collaborate with cross-functional teams, integrate LLMs, ensure product reliability, and mentor engineers.

The Senior AI Engineer will design and implement scalable AI platforms, integrate LLMs, build robust APIs, and ensure reliable AI services, collaborating across teams.

The Senior AI Engineer at ClickUp will develop and implement AI features, collaborate cross-functionally, and mentor engineers while ensuring reliable AI applications.

Seeking a Staff AI Engineer to build scalable AI platforms using LLMs, optimize performance, and collaborate across teams for innovative solutions.

Responsible for designing and deploying AI solutions, developing ML models, collaborating with teams, ensuring model performance, and adhering to ethical guidelines.

Assist in developing AI-powered applications, support workflows, test APIs, optimize data pipelines, and collaborate with teams to build enterprise AI solutions.

The Staff Software Engineer will architect and code backend services and ML models, integrate systems, ensure quality, and mentor engineers in the AI & Strategy Engineering team.

The AI Engineer will design and build AI-powered product features and multi-step AI workflow chains, integrating LLMs to enhance user experiences and operational efficiencies in restaurant technology.

The Principal Cyber AI Engineer will develop AI security tools and solutions, analyze threat data, mentor junior engineers, and ensure compliance with security standards.

Design, develop, and productionize applied AI systems (RAG, LLM integrations, orchestration, agentic workflows). Ensure safe, reliable outputs with guardrails and monitoring, prototype and scale solutions, mentor engineers, collaborate cross-functionally, run experiments, and maintain testing, documentation, and production support.

Design, build, and operate production-grade LLM systems and multi-agent AI workflows. Own prompt architecture, RAG pipelines, cloud-native AI infrastructure, monitoring, and reliability to deliver scalable member-facing and operational solutions.

Design, build, and productionize Generative AI applications (document intelligence, RAG, semantic search). Implement LLM fine-tuning, vector search, agentic workflows, and MLOps on GCP; collaborate with clients to translate requirements into scalable, reliable AI services.

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

Develop AI agents leveraging large language models, integrate external tools, and ensure production-ready AI features while collaborating across teams.

Develop scalable AI/ML software solutions, ensure quality and compliance, optimize performance, and collaborate on real-time systems. Manage data pipelines and models with a firm grasp of best practices.

The Senior Software Engineer will drive AI adoption at Coinbase, leading initiatives from ideation to production while collaborating across teams to implement AI automation solutions.

The Software Engineer II will develop and support AI-driven projects, engage in code reviews, and collaborate with product teams to enhance user experience on the YCharts platform.