Cocreate and deliver AI/GenAI solutions that help banks and insurers prevent financial crime at scale across KYC/CDD, sanctions screening, transaction monitoring, fraud, and investigations
Job Summary
Cocreate and deliver AI/GenAI solutions that help banks and insurers prevent financial crime at scale across KYC/CDD, sanctions screening, transaction monitoring, fraud, and investigations.
Own end-to-end architecture for LLM/GenAI solutions, build reusable components/APIs, and lead Python development with strong software engineering practices.
You will join an emerging practice at the intersection of AI innovation and financial crime prevention, offering concentrated experience and rapid career growth.
Matching Summary
Cocreate and deliver AI/GenAI solutions that help banks and insurers prevent financial crime at scale across KYC/CDD, sanctions screening, transaction monitoring, fraud, and investigations.
Skills & Requirements
Must-have
LLM/GenAI solution architecture
Python development with FastAPI
LangChain / LangGraph / Autogen / CrewAI
RAG pipelines and vector databases
Cloud-native environments (Azure preferred)
Responsible AI and security controls
Nice-to-have
Domain exposure to financial crime
Databricks ecosystem experience
Data engineering at scale
Czech language proficiency
Key Requirements
5+ years in software/AI engineering
2-3+ years delivering LLM-enabled applications
Strong Python / TypeScript and API/service development
Hands-on with RAG architectures and vector databases