Job Description

Job Description

REQUIREMENTS:

  • Total experience of 6 years+
  • Strong expertise in Python and backend engineering with experience building scalable, distributed microservices.
  • Hands-on experience designing and delivering end-to-end RAG (Retrieval-Augmented Generation) workflows in production systems.
  • Solid understanding of ML solution design, including embeddings, retrieval, ranking, feature engineering, and evaluation strategies.
  • Experience with vector databases (FAISS, Pinecone, Milvus, Weaviate) and implementing chunking, indexing, vector search, re-ranking, caching, and memory patterns.
  • Knowledge of LLM/NLP engineering, including prompt engineering, model integration, orchestration tools (LangChain/LlamaIndex), and evaluation instrumentation.
  • Experience productionizing ML systems with observability, online/offline parity, and performance optimization across latency, throughput, and cost.
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