Principal Staff Engineer Compliance

Skills

About the Role

You will design and deliver compliance-platform solutions covering KYC onboarding, identity verification, screening, transaction monitoring, travel-rule enforcement, case management, and regulatory reporting. You will integrate AI and ML models into Java services while maintaining deterministic controls, auditability, reliable inference, and human review for high-stakes decisions. You will lead technical delivery, resolve complex problems, set code-quality practices, and collaborate across Data Science, Risk, and Legal. You will also establish AI engineering practices for prompts, evaluations, agentic workflows, and AI-generated code review in a regulated environment.

Requirements

• Apply a compliance-first systems mindset using state machines, idempotency, exactly-once semantics, reconciliation jobs, and immutable audit logs
• Use modern AI coding tools fluently, such as Claude Code, Cursor, GitHub Copilot, or Codex CLI
• Integrate AI and ML model inference into Java services using REST or gRPC
• Build feature-engineering pipelines, optimize latency-sensitive inference, and implement degradation, drift, and rollback playbooks
• Have production experience with RAG, agentic workflows, or LLM-based classification or extraction
• Implement evaluations, hallucination tests, prompt regression suites, and human-in-the-loop review for LLM features
• Understand distributed-system principles including CAP, consistency, idempotency, and delivery semantics
• Communicate clearly with non-engineers, compliance officers, auditors, and regulators

Responsibilities

• Design and develop technical solutions across KYC, identity verification, sanctions screening, transaction monitoring, travel-rule enforcement, case management, and regulatory reporting
• Build AI and ML-powered capabilities for screening disambiguation, document verification, anomaly detection, risk scoring, and analyst assistance
• Lead project research and development, troubleshoot issues, and ensure high-quality, timely delivery
• Integrate AI models into KYC, screening, and monitoring workflows
• Collaborate with Data Science, Risk, and Legal to productionize models and deliver reliable, auditable inference infrastructure
• Define and enforce boundaries between probabilistic AI and deterministic compliance logic
• Establish AI engineering practices for agentic coding, prompt libraries, evaluation suites, and human review

Benefits

• Competitive total compensation package
• Learning and development programs and education subsidy, including budget for AI tools, courses, and conferences
• Team-building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants