AI - Engineer

Overview

AI Engineer focused on Large Language Models (LLMs) and Generative AI, designing and deploying LLM-powered systems.

What you'll do

• Design, build, and deploy LLM-powered applications such as chatbots, copilots, agents, and RAG systems.
• Develop and optimize prompt engineering strategies for production use cases.
• Build and maintain RAG pipelines including embeddings, chunking, and vector databases.
• Fine-tune and evaluate LLMs using methods like LoRA/QLoRA, instruction tuning, and RLHF where applicable.
• Implement agentic workflows using frameworks like LangChain, LangGraph, or LlamaIndex.
• Build backend services and APIs in Java and/or Python to serve LLM applications.

What you'll need

• Bachelor's or Master's degree in Computer Science, Machine Learning, or related field (or equivalent practical experience).
• Strong programming skills in Java and Python.
• Hands-on experience with LLM APIs and open-source LLMs.
• Practical experience with prompt engineering and RAG architecture.
• Experience with vector databases and embedding models.
• Experience building and consuming REST/gRPC APIs for AI-serving backends.

Details

• Location: Noida.