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Zeawis is looking for an LLM Developer with expertise in LangChain to build AI-powered applications. You'll work on fine-tuning and deploying Large Language Models (LLMs) for conversational AI, automation, and NLP-driven solutions.

Responsibilities:
✅ Develop, fine-tune, and optimize LLMs for AI applications
✅ Implement LangChain to build advanced conversational AI systems
✅ Integrate LLMs into applications for tasks like chatbots, document processing, and automation
✅ Optimize model efficiency and ensure scalability for real-world use cases
✅ Collaborate with backend engineers to deploy AI-driven solutions

Requirements:
✔️ Strong experience with LLM architectures (GPT, BERT, etc.)
✔️ Proficiency in LangChain, OpenAI API, and vector databases (Pinecone, FAISS)
✔️ Hands-on experience with Python, NLP, and AI/ML frameworks (TensorFlow, PyTorch)
✔️ Knowledge of prompt engineering, embeddings, and retrieval-augmented generation (RAG)
✔️ Familiarity with cloud-based AI solutions (AWS, Azure, GCP)