Applied AI Engineer – Associate - Risk Engineering – Software Engineering

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or related STEM discipline.
• 3-5 years of experience in software development, including a clear understanding of software design and core programming concepts.
• 1+ year of hands-on experience architecting and deploying AI solutions.
• Programming experience with at least one imperative language (e.g. Java, C/C++, Python, JavaScript).
• Strong problem-solving and analytical skills.

Nice to Haves

• Experience with RAG architectures and orchestration frameworks like LangChain or Google ADK.
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Understanding of Linux, SQL and version control systems.
• Experience with building complex, distributed AI applications at scale.
• An interest in Risk Management or in specific OTC derivative products.

What You'll Be Doing

• Architect and deploy end-to-end AI solutions, including RAG pipelines and autonomous agents, to improve risk management processes.
• Develop technical specifications, infrastructure designs, testing strategies, and implementation plans.
• Learn about capital and regulatory requirements, and how to translate them into prompt engineering.
• Build strong relationships with regulators, senior risk managers, and senior business stakeholders.
• Work in a team of talented engineers who are passionate about identifying patterns and building common solutions.

Perks and Benefits

• Culture of teamwork, innovation, and meritocracy.
• Supportive work environment with collaborative workspaces, mindfulness classes, and flexible work options.
• Opportunities for professional growth and personal development.
• Diversity and inclusion initiatives within the workplace.