Join our innovative team as a Generative AI Engineer, focusing on the intersection of advanced AI technologies and user experience. This role involves leading the development of intelligent, agentic applications powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines. You will also be responsible for creating intuitive and responsive frontend interfaces.

We are looking for a creative individual to drive the future of AI-powered applications. This is an exciting opportunity to work with cutting-edge technologies and shape user interactions.

Design and implement sophisticated Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA. Develop and fine-tune Retrieval-Augmented Generation (RAG) pipelines, leveraging vector databases like ChromaDB and Databricks Mosaic ML Vector Stores. Construct and manage agentic workflows and conversational AI agents using established frameworks, including LangGraph and OpenAI. Execute vectorization using models like GTE-large and BGE, with the option to fine-tune for enhanced accuracy. Collaborate closely with backend and application development teams to seamlessly integrate Generative AI capabilities into our products.

A deep understanding of Large Language Models (LLMs), prompt engineering techniques, and transformer architectures is essential. Proven hands-on experience with RAG architectures, vector search mechanisms, and embedding models is required. Proficiency in Python, along with key libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face. Familiarity with agentic frameworks like AutoGen, OpenAI, CrewAI, or LangGraph. Experience in deploying AI models through APIs or microservices.