> Markdown version of [/jobs/ext/4622375-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4622375-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** CAMP SYCAMORE CREEK - **Location:** Chicago, IL, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Programming Tools, Python (Programming Language), Software Construction, Systems Integration, Large Language Models, Model Validation, AI Coding Agents - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_b8a78168cbd4a4d78e0503dc9e2ce8aa ## About the Role * Experience building software with LLMs and agents, including tools, context, orchestration, and model APIs. * Familiarity with coding agents and the tradeoffs between different models, providers, and harnesses. * Comfortable working in Python, C++, and/or Java. * Experience building software used by other engineers or end users. * Comfortable working across application code, developer tooling, infrastructure, and user-facing software. * Demonstrated ability to take ambiguous problems from idea through production. * Hands-on use of this technology outside of work, including projects or experiments you've built for yourself., * Experience with model evaluation or benchmarking. * Experience with inference optimization, fine-tuning, or post-training. * Experience in financial markets or trading environments. * Experience with quantitative research, market data, simulation, or backtesting. ## Description * Build agent tooling used by CTC's engineers, quants, and traders. * Bring new models, coding agents, and agent harnesses into CTC as the ecosystem evolves. * Build the common infrastructure needed to support them, including inference, configuration, integrations, tracing, and access controls. * Build AI tools and interfaces for specific roles and workflows across the firm. * Improve the performance and reliability of the systems we run, from shared services to model inference. * Prototype new uses for agents in areas like research, simulation, and trading. * Work directly with users to understand their workflows and guide what we build next.