
B2B • Software Development • Artificial Intelligence
Madiff is a technology and consulting company specializing in IT services and digital innovation. They provide a range of solutions, including software development, agile team services, and IT consulting across various industries. With a focus on delivering high-quality, multi-skilled remote teams, Madiff aims to enhance business performance and support clients in navigating the complexities of their respective markets.
October 31

B2B • Software Development • Artificial Intelligence
Madiff is a technology and consulting company specializing in IT services and digital innovation. They provide a range of solutions, including software development, agile team services, and IT consulting across various industries. With a focus on delivering high-quality, multi-skilled remote teams, Madiff aims to enhance business performance and support clients in navigating the complexities of their respective markets.
• Design and develop backend microservices in Python (Django, Flask, or FastAPI) powering GenAI applications and internal automation platforms. • Integrate with LLM APIs (OpenAI, Anthropic) and implement RAG pipelines using vector databases such as Pinecone or Chroma to enhance contextual intelligence. • Develop AI workflow orchestration — prompt routing, retrieval logic, tool execution, memory handling, and multi-agent collaboration — using LangChain and LangGraph. • Build APIs and backend modules that connect to financial systems, credit decision engines, and customer experience platforms. • Manage structured and unstructured data pipelines, integrating with PostgreSQL, MongoDB, and data lakes. • Deploy and maintain services using Docker and cloud environments (Azure or AWS), ensuring scalability, performance, and security compliance. • Collaborate with cross-functional teams in the US and Europe, including frontend, DevOps, and data science units, to deliver production-grade AI capabilities.
• 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 or 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 global engineering teams.
• Competitive daily rate • Opportunity to work on international GenAI projects for top-tier US clients. • Dynamic, multilingual work environment and access to advanced AI infrastructure. • Private medical care • Long-term project engagement
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