Data & AI Engineer Expert (Embedded Finance)
Core
Design, build, and evolve high-impact data products and AI solutions for the Embedded Finance vertical.
Role type
Senior IC Data & AI Engineer (Embedded Finance)
Builds
Scalable data pipelines, master data tables, semantic layers, and agentic AI solutions (RAG, assistants) for Embedded Finance.
Domain
Banking / Fintech / Embedded Finance
Deliverable
production ML models | product features
Required skills
Advanced SQL, Python, Data pipeline design & optimization, Analytical data modeling, Generative AI integration (LLMs, agents, RAG), Prompt engineering, Cloud platforms (AWS/GCP)
Preferred skills
AWS suite (Bedrock, Glue, Athena, Redshift, SageMaker), Orchestration frameworks (LangChain, LlamaIndex), MLOps/CI/CD, Vector databases, Banking/Fintech domain experience
Technologies
Amazon Bedrock, Gemini, ChatGPT/Enterprise, AWS, LangChain, LlamaIndex, Git
Responsibilities
Design and maintain scalable data transformation pipelines; Develop and maintain centralized master tables and semantic layers; Implement agentic AI solutions and RAG systems; Optimize data queries and LLM token consumption costs; Translate business needs into analytical and AI assets for Embedded Finance.
Seniority
Senior, hands-on IC