Location: Bengaluru,Karnataka,India
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.
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.
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
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
Tookitaki is transforming financial services by building a robust trust layer that focuses on two crucial pillars: preventing fraud to build consumer trust and combating money laundering to secure institutional trust. Our trust layer leverages collaborative intelligence and a federated AI approach, delivering powerful, AI-driven solutions for real-time fraud detection and AML (Anti-Money Laundering) compliance.
How We Build Trust: Our Unique Value Propositions
AFC Ecosystem – Community-Driven Financial Crime Protection
The Anti-Financial Crime (AFC) Ecosystem is a community-driven platform that continuously updates financial crime patterns with real-time intelligence from industry experts. This enables our clients to stay ahead of the latest money laundering and fraud tactics.
FinCense – End-to-End Compliance Platform
Our FinCense platform is a comprehensive compliance solution that covers all aspects of AML and fraud prevention—from name screening and customer due diligence (CDD) to transaction monitoring and fraud detection. This ensures financial institutions not only meet regulatory requirements but also mitigate risks of non-compliance, providing the peace of mind they need as they scale.
Industry Recognition and Global Impact
Tookitaki’s innovative approach has been recognized by some of the leading financial entities in Asia, including Tencent, GXS, Maya, Aeon, UOB, and Fubon. We have also earned accolades from key industry bodies such as FATF and received prestigious awards like the World Economic Forum Technology Pioneer, Forbes Asia 100 to Watch, and Chartis RiskTech100.
Serving some of the world’s most prominent banks and fintech companies, Tookitaki is continuously redefining the standards of financial crime detection and prevention, creating a safer and more trustworthy financial ecosystem for everyone.
