Top Remote Artificial Intelligence Engineer Jobs in Chicago, IL

Design and develop applications using Python and Java Spring Boot, build AI/ML models, and collaborate with teams to implement best practices.

The Senior AI Engineer will lead development of AI systems, collaborating with product and engineering teams, designing architectures, and ensuring performance of machine learning applications in healthcare.

Design, develop, and optimize AI models and solutions, implementing them on cloud platforms while collaborating with teams to enhance AI capabilities.

Lead the AI engineering team to architect and maintain data pipelines for LLM models and enterprise AI solutions, ensuring compliance and high performance.

Lead a team of AI and ML engineers in developing scalable solutions, collaborating with various teams to integrate models, ensure compliance, and drive innovation in AI technologies.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

Design, develop, and deploy AI and machine learning models. Collaborate with teams to integrate AI models and optimize for performance.

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.

As a Senior AI Engineer, you will develop AI systems for healthcare data, design AI components, mentor teammates, and contribute to hiring efforts.

The role involves researching and implementing advanced NLP and TTS or CV technologies, focusing on AI speech model development.

The AI Engineer & Researcher will work on deploying and optimizing ML inference workloads, improve performance of AI Products, and ensure successful operation of production services.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

The Senior AI Engineer will develop AI-powered solutions to extract structured data from unstructured medical charts, focusing on efficiency, accuracy, and integration with real-world applications.

The AI Engineer III will build and implement AI systems for healthcare data, ensuring operational reliability and collaboration with stakeholders to achieve business objectives.

As an AI Engineer II, you'll support AI feature development, participate in projects, assist in model implementation, and collaborate closely with team members to deliver AI-driven solutions in healthcare.

The AI Engineer will develop LLM integration and AI products, designing intelligent pipelines to enhance user experience and operational efficiency.

The Senior Applied AI Engineer will architect and develop backend systems for AI applications, ensuring scalability and integration with LLM APIs while collaborating with product and engineering teams.

The Junior AI Engineer will develop and deploy AI solutions for extracting structured data from unstructured medical charts, collaborating with technical and clinical 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 the development and implementation of AI-powered coding tools, driving technical strategy and ensuring system performance across distributed applications.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

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.