Top Remote Artificial Intelligence Engineer Jobs in Chicago, IL

As a Principal AI Engineer, you will lead the development of the AI infrastructure at Exactera, focusing on building complex knowledge graphs, hybrid retrieval systems, and compliance-grade AI solutions for tax advisory applications.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

Design, build, and operate multi-agent AI backends that generate fast, accurate genomics-based health guidance. Implement planners, routers, workers, evaluators, RAG pipelines, parallel execution, caching, evaluation benchmarks, and production TypeScript services integrating databases, queues, and data systems while ensuring scientific accuracy, safety, and low latency.

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

The AI Engineer will build AI-driven workflows, integrating customer requirements into scalable solutions while managing both front-end and back-end elements in a cloud environment.

The Senior AI Engineer will develop AI-driven solutions using LLMs, focusing on prompt engineering, integration, research, and data utilization for payment systems.

The AI Engineer develops advanced AI systems, manages datasets, creates and integrates machine learning models, and collaborates with teams to enhance applications.

The role involves leading the development and deployment of Generative AI systems, designing solutions with Large Language Models, and mentoring team members.

As an AI Engineer, you will develop and optimize AI systems, focusing on LLM integration, vector databases, and RAG pipelines, collaborating with various teams to ensure cutting-edge performance.

This role involves developing and optimizing LLM applications, architecting workflows, and integrating AI functionalities. Strong experience in AI/ML and collaboration is required.

The role involves building and scaling LLM-powered applications, managing the full product lifecycle, ensuring system reliability, and collaborating across teams to deliver impactful AI-driven features.

The AI Engineer will design and deploy classification models for media, optimize data pipelines, lead R&D in voice and audio generation, and research image intelligence technologies.

Develop and implement AI infrastructure, focusing on distributed systems and cloud-native architecture to enable agentic workflows and high-scale data operations.

Develop, train, test, and integrate machine learning models; process large datasets; optimize AI systems; collaborate with cross-functional teams; document architectures; ensure ethical, performant AI solutions using cloud services.

Embed with clients to gather requirements and design AI-driven solutions for fraud and fincrime. Architect, train, evaluate, and deploy custom AI agents and workflows, optimize model performance, establish risk metrics and evaluation pipelines, and collaborate with engineering/product teams to scale into production.

Design, build, and operate customer-facing AI systems across the full product lifecycle: discovery, prototyping, deployment, evaluation, and monitoring. Translate ambiguous customer problems into AI solutions, own system design and scalability, ship production code, and partner with product teams to apply frontier models and agent frameworks.

The Senior Security Engineer will assess application security for AI systems, focusing on prompt injection techniques, threat modeling, and client training on AI security topics.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

The Lead Software QA Engineer will integrate quality into the AI-first engineering workflow, enhancing developer behavior towards reliability and efficiency. Responsibilities include building automated testing systems, defining production standards, collaborating with Sales and Product, and ensuring data integrity and usability.

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 design, development, and deployment of enterprise AI agents and multi-agent systems. Architect scalable, secure AI/data systems, integrate vector DBs, embeddings, RAG, and cloud MLOps, drive automation/APIs, mentor engineers, set KPIs, and ensure observability, ethical AI, and production readiness.

The role involves architecting and building an internal AI copilot platform, applying AI technologies to streamline workflows and enhance decision-making across teams. Responsibilities include end-to-end ownership of internal systems, rapid prototyping, and collaboration to automate operations.

As an AI Engineer, you will design and optimize generative pipelines for image and video, diagnose quality issues, and implement solutions for UGC content generation. Collaborate on enhancing models and workflows while keeping up with industry trends.

The Principal AI Engineer will build and improve the core AI tutoring system, design evaluation methods, and collaborate on pedagogical goals, driving innovation in learner experiences.