About this role
Summary: The Generative AI Engineer will design and implement intelligent, agentic applications powered by LLMs and RAG pipelines. This role involves building frontend interfaces, optimizing vector databases, and collaborating with backend teams to deliver seamless user experiences.
Role: Generative AI Engineer
Role Overview
We are seeking an innovative and experienced Generative AI Engineer to join our team. In this role, you will bridge the gap between cutting-edge Generative AI technologies and seamless user experiences. You will lead the creation of intelligent, agentic applications powered by LLMs and Retrieval-Augmented Generation (RAG) pipelines while delivering intuitive and responsive frontend interfaces.
Key Responsibilities
- Design and implement Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA
- Develop and optimize RAG pipelines using vector databases (ChromaDB for local development and Databricks Mosaic ML Vector Stores)
- Build and maintain agentic workflows and conversational AI agents using frameworks like LangGraph and OpenAI
- Perform vectorization using models such as GTE-large and BGE, and optionally fine-tune them for improved accuracy
- Collaborate with backend and app teams to integrate Gen AI capabilities into products
Required Skills & Experience
- Deep understanding of LLMs, prompt engineering, and transformer architectures.
- Hands-on experience with RAG architectures, vector search, and embedding models.
- Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face.
- Familiarity with agentic frameworks like AutoGen, OpenAI, CrewAI, or LangGraph.
- Experience deploying AI models via APIs or microservices.
Preferred Skills
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field
- Experience with cloud platforms such as AWS, GCP, or Azure, and CI/CD pipeline