AI Engineer

WHAT YOU'LL DO

• 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.

WHAT WE'RE LOOKING FOR

• 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.

NICE TO HAVE

• 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.

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