AI Engineer

We are working with a top-tier multi-strategy hedge fund (c. $70bn AUM), widely recognized as one of the worlds leading alternative investment firms. With a global platform spanning multiple asset classes and investment strategies, the firm combines entrepreneurial investment teams with institutional-grade infrastructure, offering world-class technology, data, risk management, and operational support to Portfolio Managers and investment professionals.

Key Responsibilities:

• Build and scale AI-powered applications and integrations that support risk and operational control workflows.
• Implement, refine, and productionize AI/ML solutions in Python.
• Develop web applications and internal tools using Flask and Django.
• Build and support integrations across equity and derivatives, order management, pricing, and related enterprise platforms.
• Deploy and manage applications across Linux and Windows environments.
• Develop and maintain applications, interfaces, and data workflows using SQL Server and PostgreSQL.
• Maintain CI/CD pipelines and support reliable, automated deployments.
• Partner with business and technology stakeholders to translate requirements into robust, production-ready solutions.

Requirements:

• 9+ years of full-stack development experience with deep expertise in Python.
• Experience implementing AI-generated or AI-assisted solutions in production environments.
• Hands-on experience using Claude and other LLMs to accelerate development and problem-solving. • Strong proficiency with Flask and Django for building scalable applications.
• Advanced experience with Pandas, NumPy, and related Python libraries.
• Strong Linux and Windows Server administration experience.
• Deep knowledge of SQL Server and PostgreSQL, including complex SQL development.
• Experience with deployment and engineering tools including Apache, Nginx, IIS, Gunicorn, uWSGI, GitHub, Jenkins, and JIRA, along with strong communication skills.