Role Overview:

We are looking for a highly skilled Senior Python Developer with expertise in Generative AI and Retrieval-Augmented Generation (RAG). The ideal candidate should have hands-on experience in LLMs, prompt engineering, vector databases, and AI-driven application development.

Key Responsibilities:

• Familiarity with graph databases like Neo4j
• Develop and optimize LLM-powered applications using Python
• Implement Retrieval-Augmented Generation (RAG) pipelines for AI-driven search and content generation
• Design and fine-tune prompt engineering strategies for better AI responses
• Integrate OpenAI, LangChain, Hugging Face, and other AI frameworks into scalable applications
• Optimize ML models and deployments using Docker, FastAPI, Flask, and other frameworks
• Collaborate with cross-functional teams to deliver AI-powered solutions

Requirements:

• Experience in LLMs, OpenAI API, LangChain, Hugging Face
• Proficiency in RAG
• Understanding of NLP, embeddings, and knowledge graphs
• Familiarity with cloud services (AWS, GCP, Azure)
• Experience in API development (FastAPI, Flask, Django, REST)
• Knowledge of MLOps and model deployment is a plus