Top Remote Artificial Intelligence Engineer Jobs in Chicago, IL

The AI Engineer will develop and deploy production-ready AI agents, work with frameworks like LangChain, and ensure reliability and scalability in AWS environments. Responsibilities include collaborating with teams to enhance AI capabilities for logistics solutions.

The Staff Applied AI Engineer will develop AI solutions to enhance productivity, design AI strategies, mentor team members, and build AI pipelines.

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 develop and optimize AI models, enhancing customer engagement through tools like chatbots, while ensuring data quality.

Lead the development of AI agents, monitor and optimize their performance, integrate them into workflows, and support company-wide AI initiatives.

The Senior Applied AI Engineer will design and optimize AI models, lead experimentation and evaluation strategies, and collaborate across teams to enhance system performance.

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.

Lead development of AI features for ClickUp, collaborating with various teams to innovate and ensure reliability and performance in production environments.

As a Senior AI Engineer, you will develop AI features, collaborate with cross-functional teams, ensure production reliability, mentor peers, and integrate AI models.

Design, develop, and maintain a platform for intelligent agents; integrate multiple LLMs; build workflows for multi-agent coordination and ensure compliance with data regulations.

The Staff AI Engineer will build scalable AI platform services, apply LLMs to enhance features, maintain APIs, and optimize performance in collaboration with cross-functional teams.

The Senior AI Engineer will design and implement scalable AI platforms, apply LLMs, build APIs, integrate AI features, and optimize performance.

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

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 development of AI safety strategies for autonomous vehicles while ensuring compliance with industry standards, focusing on ML model validation and deployment in driving systems.

The Senior Software Engineer will own quarterly goals, lead the team through challenges, collaborate on product development, and ensure code quality, while also fostering team growth.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

The Senior AI Engineer develops and deploys AI solutions, focusing on multi-agent systems and integrating them with enterprise workflows to deliver business outcomes.

The AI Engineer develops and deploys AI solutions, focusing on agentic systems, workflow automation, and integration while collaborating with senior engineers and clients.

Research and implement state-of-the-art NLP and TTS technologies, focusing on creating high-quality AI speech models. The role involves leading projects and enhancing user experiences.

The role involves developing AI-driven features for observability tools, collaborating with cross-functional teams, and delivering scalable solutions.

As a Founding AI Engineer, you'll develop end-to-end intelligent systems, integrating ML models into scalable applications and collaborating closely with a small team to drive product innovation.

Lead the design, development, and deployment of AI and ML systems at BJAK, mentor engineers, and drive technical initiatives.

Design, build, and improve ML and generative AI solutions for healthcare. Collaborate across teams, lead AI initiatives, and mentor junior members.