Top Remote Artificial Intelligence Engineer Jobs in Chicago, IL

As a Senior Software Engineer, you will build AI-driven agent systems for media planning and execution, collaborating closely with data scientists and product teams.

The AI Engineer (GTM) will architect AI systems to enhance go-to-market operations, automating workflows, improving marketing and sales efficiency, and supporting customer growth strategies.

Seeking a Sr. AI Engineer to lead AI integration projects, mentor engineers, develop AI/ML platforms, and ensure operational excellence.

As an AI & IT Systems Engineer, you will ensure robust IT infrastructure, enable AI workflows, and manage SaaS applications. You will partner on AI initiatives and provide cross-functional technical support.

Design and prototype LLM- and agent-based workflows (RAG, tool-calling), build reusable connectors and agent templates, integrate data science models, define clean API boundaries, implement lightweight evaluation/logging, and collaborate with data science and leadership to operationalize AI systems.

Senior individual contributor responsible for designing and delivering production AI solutions (LLM services, RAG, document intelligence) using AWS native technologies. Build LLM-enabled APIs, vector search pipelines, and cloud-native, serverless integrations; ensure CI/CD, observability, security, and compliance. Provide technical leadership, mentor engineers, collaborate with platform and product teams, and contribute reusable AI patterns and reference implementations.

Client-facing AI engineer who develops and deploys generative AI/LLM solutions, collaborates with data scientists and engineers, leads cross-functional projects, and delivers technical solutions and presentations to clients.

Build production-ready intelligent automations and agentic AI solutions. Full-stack development using TypeScript or Python, LangChain, vector DBs, RAG, and tool-calling. Collaborate with clients, ensure maintainable, tested, scalable deployments, CI/CD, observability, and model fine-tuning or deployment.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

As a Senior AI Engineer at Knotch, you will develop AI agents for workflow automation, design backend and frontend services, and collaborate with teams to integrate AI into products. Your role includes optimizing systems for performance and ensuring agent safety and governance.

Design, develop, and deploy AI/ML solutions—especially generative and agentic AI—build LLM and RAG architectures, implement MLOps pipelines, prototype PoCs, and integrate models into production using cloud, containerization, and CI/CD practices while collaborating across teams.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new 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 architecture of AI agent systems for monetization, develop machine learning models, and mentor junior engineers.

Build and maintain AI tools for internally at Automattic, focusing on enhancing productivity through LibreChat while collaborating with the team.

The Applied AI Engineer will develop and ship AI features across Automattic's products, collaborating with teams and scaling innovations that impact millions of users.

Lead the development of AI/ML systems for document processing, mentor engineering teams, and implement advanced machine learning solutions focused on language models and data extraction.

Design and build autonomous, enterprise-grounded AI agents and workflows using the Elastic Stack, RAG, and LLMs. Integrate models with internal APIs and SaaS, manage deployment and scaling on cloud/Kubernetes, ensure security/compliance, document systems, and provide technical leadership for agent lifecycle and performance optimization.

The Senior AI Engineer will develop AI solutions for incident management, collaborate cross-functionally, and enhance observability tools through iteration and ownership.

Participate in a work-integrated program combining structured learning with real work in software engineering and data science. Complete boot camps while contributing to actual projects and receiving mentorship.

Apprentices will complete a bootcamp in Data Science & AI while working on software projects, writing code, and collaborating with experienced developers.

The AI Engineer designs, develops, and deploys AI applications to enhance healthcare workflows, automate processes, and support data-driven decisions, collaborating in a team to create scalable cloud-based systems.

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 engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Lead the buildout and scaling of AI capabilities at Optimal Dynamics, establishing engineering standards and delivering production systems. Own end-to-end initiatives from data readiness to production launch, collaborating cross-functionally and mentoring teammates.