Senior Software Engineer Financial Crime Prevention

About the Role

Tookitaki builds FinCense a financial crime detection platform used by banks and payment providers across Asia-Pacific. The platform combines real-time fraud prevention with anti-money laundering (AML) transaction monitoring processing millions of transactions daily.

We are looking for an engineer to design and build core platform capabilities across real-time scoring shared data infrastructure network analysis and AI-assisted investigation. You will work on detecting complex financial crime patterns across large-scale transaction networks where adversaries actively adapt to evade detection.

This is a high-ownership engineering role with direct product influence. The work spans real-time systems data infrastructure network analysis and AI-assisted workflows you will focus on the areas that match your strengths.

Projects Youll Own

You will take ownership of projects across these areas based on your strengths:

• Real-time and batch data processing pipelines at scale

• Shared platform infrastructure feature computation entity resolution state management

• Graph and network analysis systems

• AI agent workflows for operational automation

Across all of these you will own features end-to-end and have direct input on architecture decisions.

Requirements

Engineering

• Strong programming fundamentals with proficiency in at least one backend language used in production systems

• Experience building data-intensive systems at scale streaming batch or distributed computing in production

• Solid understanding of system design: data flow architecture state management API design performance trade-offs

• Clean testable maintainable code. You optimise for simplicity and correctness.

Product & Problem Solving

• You consider user impact when making technical decisions

• You can identify high-leverage work that reduces operational burden

• Comfortable pushing back on unnecessary complexity

AI-Native Development

• Our team operates in an AI-native development environment where coding agents (Claude Code Cursor or similar) are heavily integrated into daily workflows. You should be comfortable working this way.

• Skilled at agentic workflows decomposing complex problems into AI-tractable sub-tasks orchestrating multi-step execution and validating outputs with engineering rigor

• Strong AI code review: you can evaluate AI-generated code quickly knowing when to accept iterate or discard

• Practices verification-driven development specifications and tests first AI-generated implementation second human-validated correctness always

AI / ML (good to have)

• Comfortable working with ML/AI systems in production model serving anomaly detection or graph-based analytics

• Experience with LLM agent frameworks (LangChain LangGraph or similar) is a plus

Domain & Stack (good to have)

• Apache Flink or Apache Spark

• ScyllaDB / Cassandra Redis Elasticsearch Kafka

• Graph databases or graph algorithm implementation

• Financial services or regulatory technology domain experience

Working Environment

• Small high-ownership team you will own significant system components from your first month

• AI-native development culture: Claude Code agentic workflows and AI-assisted code review are how we work daily

• Direct access to product and business context engineers participate in customer problem discussions not just ticket execution

• Distributed team across Singapore and India

• We offer competitive compensation aligned with the calibre of talent we are looking for