Top Remote Artificial Intelligence Engineer Jobs in Chicago, IL

As an AI Engineer, you will manage analytical projects, engage in causal modeling, feature engineering from data, and build AI-driven internal tools, partnering with various teams to develop customer solutions.

The AI Engineer - Marketing Operations will design, deploy, and manage AI systems to enhance marketing efficiency, integrate with CRM infrastructure, and optimize revenue impact through production-grade applications.

The Agentic AI Engineer is responsible for deploying, executing, and improving Machine Learning solutions, creating scalable systems, and collaborating with teams to drive strategy and business value through analytics.

The Senior AI Engineer will design and implement AWS-based AI solutions, build AI-powered features, ensure code quality, and collaborate across teams to enhance digital investigations.

Design and deploy AI agents for clinical workflows, ensuring reliability and efficiency in real-time patient care recommendations while collaborating with cross-functional teams.

The Senior AI Engineer will design and deploy AI agents for healthcare, ensuring reliability and efficiency in patient care workflows, collaborating with teams, and pushing for high-quality 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.

Develop and deploy production-grade AI/ML models, design end-to-end pipelines, and ensure compliance while collaborating with stakeholders in a federal environment.

As a Junior AI Engineer, you will design and build backend features, own projects end-to-end, write automated tests, debug production issues, and improve system reliability, communicating effectively across teams.

Develop AI solutions for marketing teams, integrating AI agents and workflows while coaching teams for self-sufficiency in AI use.

The Senior Applied AI Engineer will design and develop GenAI features for Teamworks' Hub product, focusing on production-grade systems and architectural decisions. Responsibilities include full ownership of features, collaborating with cross-functional teams, and establishing best practices for reliable AI systems.

As a Staff Data Engineer, lead the architecture of a Snowflake-centric data platform, focusing on LLM-based data strategy and AI-driven products, while mentoring engineers and ensuring data integrity and performance.

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

As a Full Stack AI Engineer, you'll build AI applications and products, prototype solutions, and collaborate with founders in a fast-paced environment.

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.

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.

The Senior AI Engineer will design and implement scalable AI platform services, integrate large language models, and optimize AI capabilities within ClickUp's product, collaborating across teams for innovation.

The Senior AI Engineer will develop AI-powered features, mentor engineers, and integrate large language models to enhance user experiences and ensure product reliability.

The Staff AI Engineer will build the AI platform, apply LLMs for intelligent feature development, and ensure system scalability and security while optimizing performance.

Develop AI-powered features, collaborate with teams, integrate LLMs, ensure production quality, mentor engineers, and stay updated on AI trends.

The AI Engineer will develop GenAI solutions, advise customers, and collaborate across teams while optimizing and deploying applications.

As a Senior Consultant, you will design and develop AI solutions using Anthropic models, support client engagements, and lead automation efforts while collaborating with delivery teams.

As a Senior AI Engineer, you will develop backend systems and AI applications for Clarium's healthcare supply chain platform, ensuring alignment with real-world workflows and critical system components.

The Senior AI Engineer will design and implement AI-driven product features, lead architecture reviews, and manage projects from inception to production, using tools like TypeScript and AWS.