Generative AI Developer – LangChain, LangGraph, and RAG Expert

Seeking a skilled Generative AI Developer with expertise in LangChain, LangGraph, Multi Agent Framework, and Retrieval-Augmented Generation (RAG). You'll design and deploy cutting-edge AI solutions, leveraging LLMs, knowledge graphs, and scalable AI workflows. Key Responsibilities: LangChain: Build modular, AI-powered applications with task automation. LangGraph: Optimize knowledge graphs for real-time data inference. Multi Agent Framework: Create and deploy multi-agent systems with dynamic tasking. RAG Pipelines: Enhance generative AI with efficient retrieval systems and vector databases. LLM Development: Fine-tune models using platforms like Hugging Face or TensorFlow. Cloud Integration: Deploy scalable AI solutions on AWS, Azure, or GCP. Optimization: Enhance performance, ensuring fairness, security, and privacy. Qualifications: Proficient in LangChain, LangGraph, Mukti, RAG, and vector databases (Pinecone, Weaviate). Strong Python skills with hands-on experience in LLMs (GPT, BERT, LLAMA). Familiar with cloud platforms and AI tools (AWS, Azure, GCP). Preferred: Experience with Hugging Face, Neo4j, and prompt engineering. Soft Skills: Team player, quick learner, and passionate about emerging AI technologies.