Top Artificial Intelligence Engineer Jobs in Chicago, IL

The AI Engineer - Manager will design AI solutions, lead teams, mentor staff, and drive strategic planning while delivering high-quality outcomes.

Design and implement AI capabilities, transition prototypes to production, build agent workflows, optimize data retrieval, and automate evaluation processes.

As an AI Engineer, you'll integrate AI solutions, optimize models, collaborate on technical solutions, and shape the technical direction at Hiya.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional 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 end-to-end post-training lifecycle for LLMs: curate SFT and preference datasets, run SFT and preference optimization, evaluate and monitor models, deploy agentic LLM systems, integrate into low-latency production, and provide technical leadership for alignment, safety, and versioning.

Design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems. Collaborate with teams to optimize AI pipelines and drive innovation.

Lead the technical evolution of software development by embedding AI into the workflow, designing intelligent ecosystems, and enhancing developer productivity.

The role involves building and scaling the Enterprise AI Platform at Wasabi, designing AI-powered solutions, implementing scalable services, and ensuring robust data governance.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

The AI Engineer role involves prototyping AI solutions, collaborating with cross-functional teams, validating workflows, and documenting technical learnings.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

Rapidly prototype and validate AI solutions for advisor workflows, integrating models, signals, and UX into experiments. Collaborate with PMs, designers, and researchers, capture technical learnings, and hand off prototypes for production.

Design, develop, and productionize NLP/ML/AI solutions (LLMs, NLU/NLG/SLU) for high-traffic consumer systems. Lead end-to-end model lifecycle: data ingestion, feature engineering, modeling, deployment, optimization, monitoring, and POCs. Establish best practices, prioritize work, and collaborate on scalable, voice-based bot platforms built on LLM frameworks.

Build and maintain AI-driven backend services and APIs, integrate LLM providers (OpenAI, Anthropic), implement scalable systems using Postgres and Redis, design Pydantic data models, write tests, troubleshoot performance, and collaborate on deployment and platform improvements.

Lead the development of AI-driven software solutions to improve customer experience by addressing issues, monitoring performance, automating resolutions, and mentoring team members in a full stack development environment.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

This role involves leading the development and integration of AI solutions within the Microsoft 365 ecosystem, focusing on architecture, performance optimization, governance, and team mentorship while driving innovation in productivity.

The role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across teams.

Design, build, and optimize AI-powered workflows and prompts for legal practice groups; collaborate with attorneys and IT; ensure quality, compliance, adoption, and reporting of AI solutions across the firm.

Lead design and implementation of agentic AI systems including RAG/GraphRAG pipelines, multi-agent architectures, and integrations across Salesforce. Build scalable back-end services, operationalize AI research into production, enforce engineering best practices, and collaborate with product, data engineering, and data science teams to improve agent performance.

The Senior Applied AI Engineer will drive AI innovation, design pilots, enhance AI patterns, develop architectures in AWS, and communicate results effectively.

As a Software Engineer on the AI Products Team, you will develop new features and improve LLM model results while engaging with customers and shaping team culture.

The Software Engineer will develop voice AI features, enhance LLM model performance, build infrastructure, and collaborate with teams and customers to improve the voice AI platform.