Join our innovative team as a Generative AI Engineer, bridging cutting-edge AI technologies with exceptional user experiences. You will spearhead the development of intelligent, agentic applications leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines. Deliver intuitive and responsive frontend interfaces while integrating advanced AI capabilities into our products.

This role offers a unique opportunity to work with state-of-the-art AI technologies and shape the future of intelligent applications. You will be instrumental in creating sophisticated AI solutions that drive user engagement and product innovation.

Design and implement advanced Generative AI solutions, utilizing LLMs like GPT, Claude, and LLaMA.

Develop and optimize RAG pipelines using vector databases such as ChromaDB and Databricks Mosaic ML Vector Stores.

Build and maintain agentic workflows and conversational AI agents with frameworks including LangGraph and OpenAI.

Perform vectorization with models like GTE-large and BGE, with the option to fine-tune for enhanced accuracy.

Collaborate closely with backend and app development teams to integrate Gen AI functionalities seamlessly into our product ecosystem.

A deep understanding of LLMs, prompt engineering, and transformer architectures is essential.

Demonstrate hands-on experience with RAG architectures, vector search, and embedding models.

Proficiency in Python is required, along with experience in libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face.

Familiarity with agentic frameworks like AutoGen, OpenAI, CrewAI, or LangGraph is necessary.

Experience deploying AI models effectively via APIs or microservices is a key requirement.