Principal Staff Engineer Compliance

Skills

About the Role

Design and deliver compliance-platform solutions across KYC, identity verification, screening, transaction monitoring, travel-rule enforcement, case management, and regulatory reporting. Integrate AI and ML models into Java services while maintaining deterministic controls, auditability, reliable inference, and human review for high-stakes decisions.

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 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

Hiring Process

AI-augmented workflow demo; live agentic exercise; system-design discussion with a probabilistic AI component; evaluation and guardrails discussion.