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.
- Strong...
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