Senior AI Engineer (Automation)

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
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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