Found Description
Senior Manager, RAG/LLM Specialist
Experience: 4–7 Years
Role Overview:
Lead the design and optimization of advanced RAG pipelines and model fine tuning processes.
Bridge the gap between prototype and enterprise-scale LLM deployment.
Key Responsibilities • • • •
Pipeline Ownership: Design and manage complex, multi-stage RAG pipelines ensuring low latency and high relevance.
Model Optimization: Lead fine-tuning initiatives (PEFT/LoRA) for open-source models to improve domain-specific task performance. Advanced Evaluation: Develop automated evaluation frameworks (e.g., RAGAS) to continually measure LLM accuracy, context precision, and recall.
Vector Strategy: Architect metadata filtering and hybrid search strategies within vector databases (e.g., Pinecone, Milvus).
Team Mentorship:
Guide junior analysts in prompt engineering, chunking strategies, and code quality.
Required Skills & Qualifications • • •
Tech Stack: Python, PyTorc...
Experience: 4–7 Years
Role Overview:
Lead the design and optimization of advanced RAG pipelines and model fine tuning processes.
Bridge the gap between prototype and enterprise-scale LLM deployment.
Key Responsibilities • • • •
Pipeline Ownership: Design and manage complex, multi-stage RAG pipelines ensuring low latency and high relevance.
Model Optimization: Lead fine-tuning initiatives (PEFT/LoRA) for open-source models to improve domain-specific task performance. Advanced Evaluation: Develop automated evaluation frameworks (e.g., RAGAS) to continually measure LLM accuracy, context precision, and recall.
Vector Strategy: Architect metadata filtering and hybrid search strategies within vector databases (e.g., Pinecone, Milvus).
Team Mentorship:
Guide junior analysts in prompt engineering, chunking strategies, and code quality.
Required Skills & Qualifications • • •
Tech Stack: Python, PyTorc...