You'll work closely with QRT's engineers, quantitative researchers and data scientists to accelerate software delivery using modern AI coding tools and agents. This is a hands-on engineering role focused on solving real problems, building practical solutions and helping teams deliver high-quality software to production faster. You'll have significant autonomy and will be measured by the impact you deliver. Your Future Role within QRT: Delivery - • Partner with engineering and research teams to identify high-value opportunities and deliver practical solutions. • Use AI coding agents to take ideas from specification through to production. • Build targeted tooling, integrations and automation to improve engineering workflows. • Work across teams, codebases and technical domains as priorities evolve. AI-Assisted Engineering - • Apply AI-assisted development to accelerate software delivery while maintaining engineering quality. • Integrate AI agents into existing development workflows, including CI/CD and code review. • Establish pragmatic guardrails and human oversight for AI-assisted development. • Share reusable approaches and best practices across engineering teams. Ownership & Impact - • Own delivery from problem definition through production deployment. • Balance speed, quality and reliability in a fast-paced trading environment. • Communicate effectively with technical and non-technical stakeholders. • Drive outcomes with autonomy, sound judgement and a bias for execution. Your Present Skillset: We value strong engineering judgement, hands-on AI-assisted delivery and a bias for impact. We do not expect candidates to meet every requirement below. • Significant software engineering experience within a quantitative hedge fund, systematic trading firm or similarly demanding engineering environment. • Strong programming skills in one or more modern languages, with the ability to learn new technologies quickly. • Hands-on experience using AI coding agents or LLMs to deliver production software. • Proven ability to solve ambiguous problems and deliver practical solutions independently. • Comfortable working across unfamiliar codebases, teams and technical domains. • Experience with CI/CD, code review workflows and human-in-the-loop development practices. • Strong engineering judgement, including balancing rapid delivery with long-term maintainability. • Excellent communication and collaboration skills. • Demonstrated ownership, pace and delivery of measurable business impact. Nice to Have: • Experience with market data, real-time systems or trading infrastructure. • Experience building deployment pipelines or AI-assisted execution workflows. • Experience building or self-hosting LLM infrastructure. • Familiarity with Kafka or similar streaming technologies. • Familiarity with authentication, permissions and access control systems (e.g. OIDC). • Contributions to open-source projects. Base salary range for this position is $180,000 to $300,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.