This job operates on a hybrid model, requiring you to be based and work from within Bulgaria.

YOUR MISSION

• Build and orchestrate AI workloads using Azure Foundry
• Design and implement RAG systems and hybrid retrieval pipelines
• Develop backend services with Django and FastAPI
• Integrate LLM APIs (OpenAI, Anthropic, Mistral, Azure OpenAI)
• Implement prompt engineering and agent workflows using LangChain, LangGraph, and LlamaIndex
• Manage vector databases (Pinecone, FAISS, Weaviate, pgvector) for embedding search
• Design indexing, data pipelines, and retrieval layers with Azure AI Search and Blob Storage

YOUR EXPERIENCE & TALENTS

• Strong hands-on expertise in RAG architecture, LLM tooling, and AI orchestration
• Deep knowledge of LangChain, LangGraph, LlamaIndex, and agentic frameworks
• Proficiency with Django, FastAPI, and modern backend development
• Experience with vector DBs and embedding-based retrieval
• Ability to design scalable pipelines, optimize prompts, and build production-ready AI workflows
• Familiarity with Azure ecosystem, data indexing, and search technologies

BENEFITS OFFERED BY OUR CLIENT

• Work with top-tier talent in a collaborative, high-performing team
• Grow through cutting-edge technologies, continuous learning, and certification opportunities
• Thrive in a global, diverse culture while contributing to exciting, cross-industry projects
• Enjoy 50+ tailored benefits and a flexible hybrid working model
• Balance work and life in a culture that supports your personal and professional development

PERFECT MATCH? We look forward to receiving your application!
QUESTIONS? Please contact Tanya at: +49 30 233 291 755
RECOMMENDATIONS? We’ll reward the successful placement of your recommendation with EUR 500