Job description

Design and implement LLM-based pipelines for tasks such as document summarization, code generation, and knowledge management. • Develop prompt engineering and few-shot learning strategies to adapt LLMs for domain-specific applications. • Build and deploy multi-agent AI systems integrating LLMs with APIs and external tools for autonomous task execution. • Enhance LLM accuracy using retrieval-augmented generation (RAG) with vector databases (FAISS, Pinecone, Milvus). • Apply model alignment methods such as reinforcement learning with human feedback (RLHF) to ensure reliability and safety. • Optimize LLM inference with quantization, pruning, LoRA, and distributed GPU deployment to reduce cost and latency. • Integrate multimodal LLMs (text + image) for use cases like content moderation, product search, and digital assistants.

Requirements

Must-haves

Design and implement LLM-based pipelines for tasks such as document summarization, code generation,
and knowledge
Develop prompt engineering and few-shot learning strategies to adapt LLMs for domain-specific
applications.
Build and deploy multi-agent AI systems integrating LLMs with APIs and external tools for
autonomous task execution.
Enhance LLM accuracy using retrieval-augmented generation (RAG) with vector databases (FAISS,
Pinecone, Milvus).
Apply model alignment methods such as reinforcement learning with human feedback (RLHF) to ensure
reliability and safety.
Optimize LLM inference with quantization, pruning, LoRA, and distributed GPU deployment to reduce
cost and latency.
Integrate multimodal LLMs (text + image) for use cases like content moderation, product search,
and digital assistants.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

llmai

Platform: jobdiva
Effort: medium