Python Backend Engineer

What you'll do Design and build production-grade GenAI applications using LangChain, LangGraph, and CrewAIImplement RAG pipelines with vector databases (Pinecone, Weaviate, ChromaDB) for enterprise knowledge systemsFine-tune and deploy LLMs (GPT-4, Claude, Llama) for domain-specific use casesBuild multi-agent orchestration systems for complex workflow automationDevelop evaluation frameworks to benchmark model performance, latency, and cost What you'll need 2+ years working with LLMs, prompt engineering, or NLP in production environmentsStrong Python skills comfortable with FastAPI, asyncio, and data pipelinesExperience with at least one agent framework: LangChain, LangGraph, CrewAI, or AutoGenUnderstanding of embedding models, vector search, and retrieval-augmented generationBonus: experience with PyTorch, model fine-tuning, or MLOps (MLflow, Weights & Biases) PythonLangChainOpenAIRAGLLMsFastAPI Apply Now .