Backend Developer with GenAI

Quick Facts

• Backend/Fullstack role with a strong focus on Generative AI
• Project starts September 7 and includes a key 6-week delivery/implementation phase

Description

You will design, develop, and implement Generative AI solutions integrated with data sovereignty architectures (Data Spaces) and agentic/multimodal systems. The work includes building GenAI applications that integrate LLM, NLP, image generation, and multimodal AI, along with end-to-end development across frontend and backend. You will also create and maintain scalable backend services using Python (FastAPI) and secure authentication/authorization mechanisms.

Responsibilities

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

Requirements

• Minimum 2 years of experience in a similar role
• Knowledge of the Claude model 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)
• Proficiency in Python (FastAPI, REST API design)
• Experience with relational and vector databases (PostgreSQL, pgvector, Qdrant)
• Knowledge of graph databases and semantic technologies (Neo4j, Apache Jena/SHACL)
• Experience with entity resolution tools and data exchange ecosystems (Splink, Eclipse EDC, Eclipse Tractus-X, Franky-X)
• Familiarity with data sovereignty, security policies, and auditing (ODRL, Open Policy Agent/OPA, Keycloak, immudb)
• Experience with containerization and orchestration (Docker, Kubernetes)
• Experience configuring and maintaining CI/CD pipelines (GitHub Actions, GitLab CI or similar)
• Experience with hybrid infrastructure and environments with strict access policies
• Basic/frontend experience with React, TypeScript, Next.js (or other SPA frameworks) for UI integration

Benefits

• B2B contract for projects combining Generative AI and data sovereignty architecture (Data Spaces)
• High autonomy in choosing tools and architectural decisions
• Fully remote work