Required Skills
- Strong grasp ofLLMs, prompt engineering, and transformer architectures
- Experience withRAG systems, vector search, and embedding models
- Proficiency inPython and libraries: LangChain, Transformers, OpenAI SDK, Hugging Face
- Familiarity withagentic frameworks (AutoGen, CrewAI, LangGraph)
- Skilled in deploying models via APIs or microservices
Key Responsibilities
- Design and implement Gen AI solutions using LLMs (GPT, Claude, LLaMA)
- Build and optimize RAG pipelines with vector databases (ChromaDB, Mosaic ML)
- Develop agentic workflows using LangGraph, OpenAI, and related frameworks
- Perform vectorization with models like GTE-large and BGE, including fine-tuning
Collaborate with backend and frontend teams for product integration
