GenAI Backend Engineer (Python) - Global Banking Apps

Madiff Polska; Lisboa; On-site; EUR 65,000 - 111,000; Full time

Benefits offered by this job

Competitive daily rate

International GenAI projects

Multilingual environment

Private medical care

Job summary

Madiff Polska is seeking an experienced AI Engineer (Python Backend) to build backend systems for GenAI-powered applications used by leading US clients in banking, fintech, and payments. You will design microservices in Python and integrate with LLM APIs, implementing RAG pipelines with Pinecone/Chroma to boost contextual intelligence.

Collaborate with teams in the US and Europe, deploy in cloud (Azure/AWS), and ensure scalable, secure AI solutions using Docker and modern data stores like

Qualifications

• 3–4+ years backend experience with Python (Django, Flask, FastAPI).
• 1–2+ years working with GenAI, LLM APIs, or vector databases.

Responsibilities

• Design and develop backend microservices in Python powering GenAI applications.
• Integrate with LLM APIs and implement RAG pipelines using vector databases.
• Develop AI workflow orchestration using LangChain and LangGraph.
• Build APIs and backend modules connecting to financial systems and customer platforms.
• Manage data pipelines with PostgreSQL, MongoDB, and data lakes.
• Deploy and maintain services using Docker and cloud environments (Azure/AWS).
• Collaborate with cross-functional teams in US and Europe to deliver production-grade AI capabilities.

Skills

Python backend (Django/Flask/FastAPI)

GenAI/LLM APIs

LangChain/LangGraph

Docker & Cloud (Azure/AWS)

English (B2+)

Banking/Fintech domain

Tools

PostgreSQL

MongoDB

Pinecone

Chroma

Job description

Madiff Polska is seeking an experienced AI Engineer (Python Backend) to build backend systems for GenAI-powered applications used by leading US clients in banking, fintech, and payments. You will design microservices in Python and integrate with LLM APIs, implementing RAG pipelines with Pinecone/Chroma to boost contextual intelligence.

Collaborate with teams in the US and Europe, deploy in cloud (Azure/AWS), and ensure scalable, secure AI solutions using Docker and modern data stores like