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

Employment type
Full-Time

Work arrangement
No