Join our innovative team as a Generative AI Engineer, where you'll pioneer the integration of cutting-edge AI technologies into user-centric applications. This role focuses on developing intelligent, agentic systems driven by LLMs and RAG pipelines, ensuring seamless and responsive frontend experiences.

This is an opportunity to work at the forefront of AI, building sophisticated applications that leverage the power of large language models and advanced retrieval techniques.

Key duties include designing and implementing Generative AI solutions using LLMs like GPT, Claude, and LLaMA. You will develop and optimize RAG pipelines with vector databases such as ChromaDB and Databricks Mosaic ML. Building and maintaining agentic workflows and conversational AI agents using frameworks like LangGraph and OpenAI is crucial. You'll also perform vectorization using models like GTE-large and BGE, with options for fine-tuning, and collaborate with backend and app teams to integrate these Gen AI capabilities into our products.

We seek candidates with a deep understanding of LLMs, prompt engineering, and transformer architectures. Essential hands-on experience includes RAG architectures, vector search, and embedding models. Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face is required. Familiarity with agentic frameworks like AutoGen, OpenAI, CrewAI, or LangGraph, alongside experience deploying AI models via APIs or microservices, is also necessary.

Preferred qualifications include a Bachelor's or Master's degree in Computer Science or a related field, and experience with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines.