Description
We are partnering with a market-leading quantitative trading firm to hire a Software Engineer focused on building advanced AI agents and scalable machine learning infrastructure. This role sits at the intersection of low-latency systems, applied AI, and high-performance computing, supporting research and production trading environments.
Key Responsibilities
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Design and develop AI agent systems to support automated decision-making, research workflows, and trading strategy augmentation.
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Build and maintain robust machine learning frameworks used for model training, evaluation, and deployment at scale.
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Collaborate closely with quantitative researchers and traders to translate research ideas into production-grade systems.
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Optimize infrastructure for performance, scalability, and low-latency execution in a live trading environment.
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Develop tooling for experiment tracking, feature engineering, and model lifecycle management.
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Contribute to the integration of LLMs and reinforcement learning approaches into trading and research workflows.
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Ensure high standards of code quality, testing, and system reliability.
Required Skills
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Strong software engineering fundamentals with proficiency in Python and/or C++.
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Experience building machine learning systems or infrastructure (training pipelines, distributed systems, or model serving).
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Solid understanding of machine learning concepts (supervised/unsupervised learning, reinforcement learning, or deep learning).
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Familiarity with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar.
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Experience working in Linux environments and with performance-critical systems.
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Strong problem-solving skills and ability to work in a fast-paced, research-driven environment.
Preferred Qualifications
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Exposure to AI agents, LLM-based systems, or autonomous decision-making frameworks.
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Experience in quantitative finance, trading systems, or time-series modelling.
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Knowledge of distributed computing, Kubernetes, or GPU acceleration.
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Familiarity with low-latency system design or high-performance computing environments.
Apply Today
Thank you for your interest in this opportunity. Please complete the form below and upload any relevant documents. A member of our team will review your application and be in touch soon.