Senior AI Engineer (Python Backend) - GenAI Systems Development

madiff Poland
Remote
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AI Summary

Design and develop backend microservices in Python for GenAI applications. Integrate with LLM APIs and implement RAG pipelines. Collaborate with global teams across the US and Europe.

Key Highlights
Design and develop backend microservices in Python (Django, Flask, or FastAPI)
Integrate with LLM APIs (OpenAI, Anthropic) and implement RAG pipelines
Collaborate with global frontend, DevOps, and data science teams
Manage structured and unstructured data pipelines with PostgreSQL, MongoDB, and data lakes
Deploy and maintain services with Docker and cloud environments (Azure or AWS)
Technical Skills Required
Python Django Flask FastAPI LLM APIs OpenAI Anthropic Pinecone Chroma LangChain LangGraph PostgreSQL MongoDB Docker Azure AWS
Benefits & Perks
Competitive daily rate
Opportunity to work on international GenAI projects
Dynamic, multilingual work environment
Private medical care
Long-term project engagement

Job Description


We’re hiring: AI Engineer (Python Backend) – Build GenAI Systems for Global Clients


We’re looking for an experienced AI Engineer (Python Backend) to join our team building backend systems for GenAI-powered applications used by leading US clients in banking, fintech, and payments

You’ll design intelligent automation tools, data-driven decision engines, and secure AI integrations for enterprise-grade environments


📍 Location: Fully remote / Europe-based


🎯 Your mission

  • Design and develop backend microservices in Python (Django, Flask, or FastAPI) powering GenAI applications and automation platforms
  • Integrate with LLM APIs (OpenAI, Anthropic) and implement RAG pipelines using vector databases such as Pinecone or Chroma
  • Develop AI workflow orchestration — prompt routing, retrieval logic, memory handling, and multi-agent collaboration — using LangChain and LangGraph
  • Build APIs and backend modules that connect to financial systems, credit engines, and customer platforms
  • Manage structured and unstructured data pipelines with PostgreSQL, MongoDB, and data lakes
  • Deploy and maintain services with Docker and cloud environments (Azure or AWS), ensuring scalability, performance, and security compliance
  • Collaborate with global frontend, DevOps, and data science teams across the US and Europe


🧭 You bring

  • 3–4+ years of backend experience with Python (Django, Flask, or FastAPI)
  • 1–2+ years working with GenAI, LLM APIs, or vector database architectures
  • Practical knowledge of LangChain, LangGraph, embeddings, and retrieval frameworks
  • Strong experience with Docker, Git, CI/CD, and cloud services (Azure, AWS, or GCP)
  • Understanding of prompt optimisation, token management, and AI system integration
  • Experience in enterprise or banking environments is a strong advantage
  • B2+ English and ability to collaborate with distributed global teams


💎 What we offer

  • Competitive daily rate
  • Opportunity to work on international GenAI projects for top-tier US clients
  • Dynamic, multilingual work environment with advanced AI infrastructure
  • Private medical care
  • Long-term project engagement


Join a global AI engineering team and help build scalable backend systems that power the next generation of GenAI applications 🌍


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