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# AI Engineer

- **Company:** Kelly Services Inc.
- **Location:** Chicago, IL, United States
- **Salary:** $160,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Information Engineering, Data Systems, Software Debugging, Python (Programming Language), Node.Js, Software Architecture, Scala (Programming Language), Software Engineering, Systems Architecture, Unstructured Data, Data Processing, Application Enhancement Tool, Cloud Platform System, ReactJS, Large Language Models, Apache Spark, Reliability of Systems, Production Code, Web Technologies, Data Pipelines
- **Published:** October 14, 2026
- **Apply:** https://www.juju.com/job/1_kellyservicesfeed4-891914

## About the Role

Required Skills & Experience + Solid software engineering fundamentals, with the ability to read, evaluate, and maintain clean, reliable code + Hands-on experience with modern web technologies such as Node.js, React, and/or Python + Versatility to contribute across multiple layers of the technology stack + Practical experience using AI-powered tools in software development, or a strong interest in incorporating them into engineering workflows + Comfortable navigating a fast-moving, evolving startup environment where priorities and challenges can change quickly Desired Skills & Experience + Experience developing or contributing to AI- and LLM-driven applications + Background in data engineering, data processing, or working with large and/or unstructured datasets + Familiarity with technologies such as Spark, Scala, and cloud-based data platforms + Prior experience working in a startup or rapidly scaling technology company + Strong interest in system architecture,
product ownership, and improving engineering workflows What You Will Be Doing Tech Breakdown + 30% Product & Feature Development: Build and ship new functionality with the support of AI-assisted development tools + 25% System Design & Architecture: Design scalable systems and make key technical and architectural decisions + 20% Data & Platform Engineering: Develop and improve data pipelines, platforms, and underlying systems + 15% AI & Engineering Workflow Optimization: Experiment with AI tools and improve development processes and team efficiency + 10% Infrastructure & DevOps: Support cloud infrastructure, deployment, monitoring, and overall system reliability Daily Responsibilities + 60% Hands-On Engineering & Problem Solving: Build, debug, and ship solutions using AI-augmented development workflows + 20% Architecture & Technical Direction: Shape system architecture, technical priorities, and long-term engineering strategy + 20% Cross-Functional

## Description

The ideal candidate is curious, adaptable, and comfortable working across disciplines - someone who can contribute to product development, data systems, and infrastructure while continuously exploring new advances in AI. You'll collaborate closely with the founders and have a meaningful influence on both the evolution of the product and the engineering culture as the company enters its next stage of growth.