AI Engineer (LLMs & Generative AI)

- Strong experience in Generative AI, LLMs, and prompt engineering.

- Hands-on experience with vector embeddings (FAISS, Pinecone, ChromaDB, Weaviate, etc.).

- Experience in fine-tuning LLMs and implementing retrieval-augmented generation (RAG).

- Proficiency in Google Gemini, OpenAI GPT, Llama, Claude, or similar platforms.

- Experience with LangChain, Firebase, and Python-based AI implementations.

- Strong technical skills in Python, APIs, and cloud-based AI model deployment.

- Knowledge of NLP, text embeddings, and semantic search techniques.

- Ability to integrate AI models into applications and optimize their performance.

- Experience in developing AI-powered chatbots, automation workflows, and AI-driven insights.