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Back to all positions
AI & Machine LearningFull-timeOn-site

RAG & Retrieval Systems Engineer

Architect retrieval-augmented generation systems at APPIT Software in Hyderabad, building knowledge-grounded AI applications with advanced vector search, hybrid retrieval, and intelligent document processing.

Hyderabad, India
Full-time
AI & Machine Learning

Responsibilities

  • Design and implement production RAG pipelines with hybrid retrieval and re-ranking
  • Build and optimize vector database infrastructure for enterprise-scale document collections
  • Develop intelligent document processing pipelines for ingestion, chunking, and embedding
  • Implement advanced retrieval strategies including query decomposition and multi-hop reasoning
  • Create evaluation frameworks to measure retrieval quality, faithfulness, and relevance
  • Optimize RAG system performance for latency, accuracy, and cost efficiency

Requirements

  • 3-5 years of software engineering experience with focus on search or information retrieval
  • Strong experience with vector databases (Pinecone, Weaviate, Qdrant, Milvus, or pgvector)
  • Knowledge of embedding models, re-ranking algorithms, and semantic search techniques
  • Experience with document parsing and processing (PDF, HTML, markdown, tables)
  • Proficiency in Python with experience in LangChain, LlamaIndex, or similar frameworks
  • Understanding of chunking strategies, metadata filtering, and retrieval optimization

Nice to Have

  • Experience with knowledge graph-augmented retrieval
  • Knowledge of ColBERT, cross-encoders, and late interaction models
  • Familiarity with enterprise search systems (Elasticsearch, Solr)

Skills

PythonVector DatabasesRAGLangChainEmbeddingsElasticsearchDocument ProcessingSemantic Search

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