Added
2 days ago
Type
Full time
Salary
Salary not provided

Related skills

langchain llamaindex pinecone weaviate faiss

📋 Description

  • Develop and fine-tune LLMs (GPT-4, Claude, LLaMA) for enterprise use
  • Build RAG pipelines with embeddings and vector stores (FAISS, Pinecone, Weaviate, Qdrant)
  • Architect multi-agent GenAI apps with LangChain, DSPy, Haystack
  • Deploy models at scale with HuggingFace, vLLM, Ollama
  • Integrate APIs from OpenAI, Anthropic, Cohere, Azure
  • Ensure security with guardrails, PII redaction, secure deployments

🎯 Requirements

  • 3-5 years in AI/ML focusing on LLM agent development and deployment
  • Design domain AI systems; integrate structured and unstructured data
  • Proficiency with LangChain and vector stores (FAISS, Pinecone, Weaviate, Qdrant)
  • Deep knowledge of LLMs and foundational models (GPT-4, Claude, Mistral, LLaMA, Gemini)
  • Strong prompt engineering, chain-of-thought reasoning, and fine-tuning
  • Experience building RAG pipelines with FAISS, Pinecone, Weaviate, Qdrant
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