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Senior AI Engineer (GraphRAG & Automation - Sofia/Ruse) Ontotext, doing business as Graphwise, is looking for a Senior Software Engineer focused on AI integration and data pipelines to help build the next generation of GraphRAG and Graph Automation products . You will work at the intersection of knowledge graphs, LLM systems, and data orchestration , building scalable pipelines that power retrieval-augmented generation (RAG), semantic enrichment, and automated knowledge workflows. If you enjoy building AI-driven backend systems, data pipelines, and production-grade LLM integrations , this role is for you. As Senior AI Engineer you will: • Design and implement GraphRAG pipelines that combine knowledge graphs with LLM-based retrieval systems • Build scalable data ingestion, transformation, and enrichment pipelines for structured and unstructured data • Integrate LLMs and embedding models into production systems (RAG, semantic search, agent workflows) • Work with workflow automation tools (e.g., n8n) to orchestrate complex data and AI pipelines • Build clean, production-grade APIs for AI and data services • Optimize performance of retrieval, indexing, and transformation pipelines • Ensure reliability, observability, and scalability of AI-driven backend systems • Collaborate with product, data, and backend teams to design end-to-end AI features • Collaborate with customer-facing teams and with Research on the research agenda • Debug complex issues across distributed data and AI pipelines • To filter applicants who do not read job descriptions, please submit, in your application form a valid JSON-LD string in the Address field (check https://json-ld.org/playground/) with your name and a link to your LinkedIn profile Your Profile: • 4+ years of experience in backend or data engineering (Java, Python, or similar strongly typed language) • Experience designing and building LLM pipelines, ETL workflows, backend data processing systems, and prompt engineering, including evaluationStrong understanding of APIs and backend system design • A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches • Hands-on experience with structured and/or unstructured data processing • Experience integrating external services or APIs in production systems • Strong problem-solving skills and ability to work with complex data flows • Degree in Computer Science, Engineering, or equivalent practical experience • Proficiency in English, both written and verbal Nice to have: • Experience with RAG systems, LLM orchestration, or AI retrieval pipelines • Familiarity with vector databases, embeddings, or semantic search systems • Experience with n8n or similar workflow automation tools • Knowledge of knowledge graphs, RDF, SPARQL, or GraphDB-like systems • Experience with Elasticsearch / OpenSearch or other search indexing systems • Exposure to LLM frameworks (LangChain, LlamaIndex, etc.) • Experience with multi-agent systems or complex agentic workflows • Experience with distributed systems and scalable data infrastructure • Familiarity with cloud platforms (AWS/GCP/Azure) and containerized deployments • Experience in early-stage development – you enjoy the zero-to-one phase • Actively contributed to relevant open-source projects or publications