ai engineer (llm & rag)

توضیحات آگهی

About the Role We are seeking an engineer with practical LLM and RAG experience to build a production ready AI system using Persian language documents Project details will be disclosed under a confidentiality agreement On site collaboration in Mashhad is preferred Responsibilities Build scalable retrieval pipelines using query rewriting structure aware chunking embeddings hybrid search reranking and metadata filters Generate verifiable source grounded answers with user selected sources version aware retrieval and appropriate handling of ambiguity conflicting evidence sensitive requests and uncertainty Collaborate on document extraction OCR quality incremental indexing failure recovery and source updates including invalidation of affected cached and generated content Develop multi step Q A long document summaries source and case study comparison structured extraction interactive learning and exercises with explanatory answers and personalized practice Manage conversation memory and user context with access correction and deletion controls Build reproducible evaluations for retrieval citations answer faithfulness completeness summaries and exercises prevent test data leakage and improve performance through error analysis Optimize cost tokens latency and concurrent performance develop APIs monitor services version configurations and document implementation Enforce data isolation and retention policies control external data sharing and defend against prompt injection Required Skills Strong Python API development and hands on RAG experience beyond tutorials Practical knowledge of LLMs context management structured outputs tool calling embeddings BM25 and reranking Experience evaluating models and troubleshooting retrieval and generation errors Familiarity with Persian text processing SQL document metadata Git Docker logging and deployment Strong problem solving technical English teamwork and confidentiality practices Preferred Qualifications Experience with Qdrant pgvector Elasticsearch OpenSearch LangChain or LlamaIndex Experience with Persian OCR advanced retrieval document versioning learning features case comparison or conversational memory Experience with fine tuning open source model serving and production monitoring and load testing Deliverables and Collaboration Deliver a maintainable documented API accessible RAG core with verifiable responses controlled knowledge updates and measurable quality cost and performance Work with data backend and content specialists this role owns the AI components and their integration Application Please include your location availability for on site work in Mashhad a relevant project and your contribution and a brief example of your evaluation approach or a technical challenge solved High level descriptions are sufficient for confidential projects خراسان رضوی مشهد تمام وقت گروه حقوق آسیا کارشناس ارشد جنسیت تفاوتی ندارد آموزش پژوهش