About this role
Summary: Design and implement Generative AI solutions using LLMs and RAG pipelines. Build agentic workflows and conversational AI agents while collaborating with backend teams to integrate AI capabilities into products.
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