Backend Developer (Generative AI)

Quick Facts

• Role focus: Backend/Fullstack development with a strong emphasis on Generative AI and data sovereignty (Data Spaces)
• Project: Delivery phase integrating Generative AI into a data sovereignty environment
• Work model: Fully remote

Description

You will design, develop, and implement Generative AI solutions—particularly agent-based, multimodal systems—by integrating LLM/NLP capabilities (including image generation) and building secure backend services. The work includes end-to-end feature development (frontend and backend) and scalable AI/data services under data sovereignty and security policy constraints.

Responsibilities

• Design, develop, and deploy Generative AI solutions
• Implement GenAI applications integrating LLM, NLP, image generation, and multimodal AI
• Use cloud platforms and distributed-compute tools to build scalable AI solutions
• Develop end-to-end functionality across frontend and backend
• Build and maintain backend services with Python (FastAPI) and REST APIs
• Develop scalable data models and services
• Implement secure authentication and authorization
• Integrate security validation tools and packages
• Develop and maintain agentic applications

Benefits

• B2B contract for GenAI + Data Spaces/data sovereignty architecture projects
• High autonomy in selecting tools and making architectural decisions
• Fully remote work

Requirements

• Minimum 2 years of experience in a similar Backend/Fullstack role
• Knowledge of the Claude ecosystem and MCP (Model Context Protocol)
• Hands-on experience with LangGraph, LangChain, Haystack, LiteLLM, self-hosted vLLM, and OpenWebUI
• Practical experience with embeddings (e.g., BGE-M3)
• Strong Python skills with FastAPI and REST API design
• Experience with PostgreSQL and vector databases (pgvector, Qdrant)
• Knowledge of graph and semantic technologies (Neo4j, Apache Jena/SHACL)
• Experience with entity resolution and data-exchange ecosystems (Splink, Eclipse EDC, Eclipse Tractus-X, Franky-X)
• Practical knowledge of data sovereignty, security policies, and auditing (ODRL, OPA, Keycloak, immudb)
• Experience with Docker and Kubernetes
• Experience setting up and maintaining CI/CD pipelines (GitHub Actions, GitLab CI or similar)
• Experience with hybrid infrastructure and restrictive access-policy environments
• Basic frontend experience with React, TypeScript, Next.js (or similar SPA frameworks)