Lead Ai Engineer — Financial Crime Technology

263

Prague, Czech Republic
**
Llm/genai architecture
Rag pipelines
Python development
** 263 is seeking a Lead AI Engineer specializing in Financial Crime Technology to develop AI solutions that assist banks and insurers in combating financial crime. The role involves client leadership, technical architecture, and hands-on engineering, requiring extensive experience in AI engineering and a strong understanding of financial regulations. **

Job Summary

  • Cocreate and deliver AI/GenAI solutions that help banks and insurers prevent financial crime at scale.
  • Own end-to-end architecture for LLM/GenAI solutions and lead Python development with strong software engineering practices.
  • You'll join an emerging practice at the intersection of AI innovation and financial crime prevention with concentrated experience and rapid career growth.

Matching Summary

Match Score: 75

** 263 is seeking a Lead AI Engineer specializing in Financial Crime Technology to develop AI solutions that assist banks and insurers in combating financial crime. The role involves client leadership, technical architecture, and hands-on engineering, requiring extensive experience in AI engineering and a strong understanding of financial regulations. **

Skills & Requirements

Must-have

  • LLM/GenAI architecture
  • RAG pipelines
  • Python development
  • LangChain / LangGraph / Autogen
  • Cloud-native environments (Azure preferred)
  • Responsible AI controls
  • Client leadership and solution shaping

Nice-to-have

  • Domain exposure to AML/sanctions/KYC/fraud
  • Databricks ecosystem
  • 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
  • Deep hands-on with RAG architectures
  • Experience with AI/LLM orchestration frameworks
  • Cloud native engineering experience
  • Demonstrated client leadership

Work Rights

Not specified

Tailored Resume

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