Senior AI Engineer (Automation)

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    "description": "<p><span style=\"font-family: Arial, sans-serif; font-size: 24pt\">Senior AI Engineer (GraphRAG &amp; Automation - Sofia/Ruse)<br><br></span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Ontotext, doing business as Graphwise, is looking for a </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Senior Software Engineer focused on AI integration and data pipelines</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> to help build the next generation of </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">GraphRAG and Graph Automation products</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">You will work at the intersection of </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">knowledge graphs, LLM systems, and data orchestration</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">, building scalable pipelines that power retrieval-augmented generation (RAG), semantic enrichment, and automated knowledge workflows.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">If you enjoy building </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">AI-driven backend systems, data pipelines, and production-grade LLM integrations</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">, this role is for you.<br><br></span></p>\n<p><span style=\"color: rgb(0, 0, 0); font-family: Arial, sans-serif; font-size: 14pt\">As Senior AI Engineer you will:<br><br></span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Design and implement </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">GraphRAG pipelines</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> that combine knowledge graphs with LLM-based retrieval systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Build scalable </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">data ingestion, transformation, and enrichment pipelines</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> for structured and unstructured data</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Integrate LLMs and embedding models into production systems (RAG, semantic search, agent workflows)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Work with </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">workflow automation tools (e.g., n8n)</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> to orchestrate complex data and AI pipelines</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Build clean, production-grade APIs for AI and data services</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Optimize performance of retrieval, indexing, and transformation pipelines</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Ensure reliability, observability, and scalability of AI-driven backend systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Collaborate with product, data, and backend teams to design end-to-end AI features</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Collaborate with customer-facing teams and with Research on the research agenda</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Debug complex issues across distributed data and AI pipelines</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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<br><br></span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: Arial, sans-serif; font-size: 14pt\">Your Profile:</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">4+ years of experience in backend or data engineering (Java, Python, or similar strongly typed language)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience designing and building LLM pipelines, ETL workflows, backend data processing systems, and prompt engineering, including evaluationStrong understanding of APIs and backend system design</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Hands-on experience with structured and/or unstructured data processing</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience integrating external services or APIs in production systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong problem-solving skills and ability to work with complex data flows</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Degree in Computer Science, Engineering, or equivalent practical experience</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Proficiency in English, both written and verbal<br><br></span></li>\n</ul>\n<p><span style=\"color: rgb(0, 0, 0); font-family: Arial, sans-serif; font-size: 14pt\">Nice to have:</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">RAG systems, LLM orchestration, or AI retrieval pipelines</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Familiarity with vector databases, embeddings, or semantic search systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">n8n or similar workflow automation tools</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Knowledge of </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">knowledge graphs, RDF, SPARQL, or GraphDB-like systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with Elasticsearch / OpenSearch or other search indexing systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Exposure to LLM frameworks (LangChain, LlamaIndex, etc.)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with multi-agent systems or complex agentic workflows</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with distributed systems and scalable data infrastructure</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Familiarity with cloud platforms (AWS/GCP/Azure) and containerized deployments</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience in early-stage development – you enjoy the zero-to-one phase</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Actively contributed to relevant open-source projects or publications</span></li>\n</ul>",
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