🛠 Tech Stack

💼 About This Role

You'll design and build scalable risk monitoring systems using AI, ML, and LLM technologies. You'll help automate review processes, consolidate risk insights, and develop unified client management tools. You'll also define evaluation frameworks to measure AI-powered solution effectiveness.

🎯 What You'll Do

• Design and build risk monitoring systems using AI/ML/LLMs.
• Develop automated name screening and sanction checking solutions.
• Build unified client management systems for risk intelligence.
• Establish agent evaluation methodologies for AI-driven automation.
• Build scalable distributed systems on public cloud infrastructure.

📋 Requirements

• Bachelor’s in Computer Science or related field.
• Backend engineering skills with Java, Python, or Kotlin.
• Experience with distributed systems in cloud environments.
• Ability to translate business requirements into technical solutions.

✨ Nice to Have

• Fintech or risk management domain experience.
• Experience with LLM agent frameworks like LangChain.
• Machine learning for predictive risk analytics.

🎁 Benefits & Perks

• 💻 Remote flexibility - hybrid work model
• 🌍 Global impact - work with teams across 26 offices
• 📈 Growth opportunities - high-visibility projects
• 🏢 Innovative culture - use AI to solve complex problems