Top AI Engineer Jobs in Chicago, IL

As a Senior AI/Data Engineer, you will design and maintain scalable data and AI infrastructures, partnering with cross-functional teams to deliver reliable data systems and support AI-driven business capabilities.

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

Prototype, iterate, and productionize AI agents and guided workflows for Nexus Black. Build cloud-native backend services, retrieval/vector pipelines, evaluation loops, observability, reusable developer tools/SDKs, and collaborate with product, design, data engineering, and customers to deliver measurable solutions.

As a Software Engineer, you will build AI systems to enhance developer workflows, implementing agents and servers, and ensuring code reliability through evaluation pipelines.

The role involves integrating AI models into existing products, collaborating with the data science team, and enhancing user experiences. Responsibilities include model evaluation, framework design, and monitoring AI performance.

Design, build, and deploy agentic AI systems using LLMs and generative AI. Develop prototypes and scalable applications, integrate agents with APIs/databases and external tools, optimize prompts and workflows, work with frameworks like LangChain/LangGraph/AutoGen, and collaborate cross-functionally.

The Principal AI Engineer will lead technical architecture and strategy within the Simplification CoE, driving scalable AI solutions and mentoring teams.

Build and deploy transformer and sequential deep learning models using large-scale financial and behavioral data to power personalized growth and marketing experiences. Work cross-functionally to design scalable training, serving, and monitoring infrastructure (batch and real-time), contribute to experimentation and optimization frameworks, and maintain production-grade MLOps systems to improve member engagement and business metrics.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

Lead the design, build, and ownership of production AI workflow and integration infrastructure enabling non-engineers to configure multi-step LLM-driven automations. Architect connectors, orchestration, security, CI/CD, monitoring, and bidirectional write-back while partnering with stakeholders and enforcing governance and compliance.

Build and maintain integrations and multi-step automated workflows between the enterprise AI platform and operational tools. Implement and sustain write-back logic, troubleshoot integration issues, ensure production reliability and security, support non-technical practitioners, participate in reviews, and contribute to monitoring, documentation, and training.

This role leads data and AI engineering strategies for R&D, oversees a team of engineers, and ensures compliance with regulatory standards while fostering innovation and collaboration across functions.

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

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.

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.

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.

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

The Forward Deployed AI Engineer will deploy AI solutions, work with clients on integration, and build prototypes while contributing to platform development.

Develop and deliver AI-driven observability features, collaborate with cross-functional teams, and iterate rapidly to enhance user incident response capabilities.

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

The Staff AI Engineer will lead AI product initiatives, design technical architecture for AI systems, and enhance engineering practices with AI integration while collaborating with product and CTO teams.