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Senior AI Delivery Engineer

Qube RT (QRT) · Hedge fund · New York, Chicago · Senior · Posted 2026-07-13

Apply now → Applications go to Qube RT (QRT)'s own site.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes. We are a technology- and data-driven group applying innovative approaches. Our culture of innovation and collaboration drives ambition to deliver outstanding solutions. As part of the AI for Software Engineering Team, you'll work tightly with engineers, quantitative researchers and data scientists to accelerate software delivery using modern AI coding tools and agents. This is a hands-on role focused on solving real problems, building practical solutions and helping teams ship progress. You will have significant autonomy and be measured by the impact you generate. Duties: - Identify high-value opportunities and deliver practical solutions - Use AI coding agents to take ideas from specification to production - Build targeted tooling, integrations, and automation - Work across many teams and domains - Apply AI-assisted engineering practice to accelerate delivery - Integrate AI agents into the current PLM and code review workflows - Establish guardrails and human oversight for AI-assisted development - Share reusable approaches - Own delivery from problem to service - Balance speed, quality, and stability - Communicate effectively across multi-level audiences - Drive outcomes with ownership and initiative Your Present Skillset: - Strong software engineering background in a quant or systematic environment - Strong programming skills, ability to where quickly - Current experience with AI coding agents or LLMs is required - Strong problem solving, hitting difficult problems. - Comfortable across platforms, codebases and identities - Experience with CI/CD, code review, and human-in-the-loop practices - Strong engineering judgement, able to balance speed and maintainability - Excellent communication and collaboration - Ownership, autonomous and execution-focused Nice to Have: - Experience with market data or live trading - Exposure to streaming systems like Kafka - Knowledge of authentication (OIDC) and open-source - Contribute to open-source Base salary: $180,000 - $300,000 per year.

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