Hiring | Agentic AI Engineer | Bangalore | Hybrid | F2F

Kornferry; Bengaluru; Hybrid; INR 3,000,000 - 4,000,000; Full time

Job summary

Kornferry is seeking an innovative Generative AI Engineer to bridge cutting-edge GenAI tech with seamless user experiences. You will lead the creation of intelligent, agentic applications powered by LLMs and RAG pipelines while delivering intuitive front-end interfaces.

Responsibilities include designing LLM-based solutions, building RAG pipelines, developing agentic workflows, vectorization, and collaborating with backend/app teams to embed GenAI into products.

Qualifications

• 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.

Responsibilities

• Design and implement Generative AI solutions using LLMs such as GPT, Claude, and LLaMA.
• Develop and optimize RAG pipelines with vector databases and Databricks Mosaic ML Vector Stores.
• Build agentic workflows and conversational AI agents using LangGraph and OpenAI.
• Vectorize with models such as GTE-large and BGE, with optional fine-tuning for accuracy.
• Collaborate with backend and app teams to integrate Gen AI capabilities into products.

Skills

LLMs

RAG architectures

Python

LangChain

Transformers

OpenAI SDK

Hugging Face

agentic frameworks

APIs/microservices

Education

Bachelor's or Master’s degree in Computer Science/AI

Tools

LangGraph

AutoGen

OpenAI

CrewAI

Job description

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

• Bachelors 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