Lead Senior Associate | AI/ML/GenAI Integration

Kornferry; Hyderabad; Hybrid; INR 2,200,000 - 4,200,000; Full time

Job summary

Kornferry seeks a Lead Senior Associate to develop Generative AI solutions bridging cutting-edge AI with seamless user experiences. You will lead intelligent, agentic applications powered by LLMs and RAG pipelines while delivering responsive frontend interfaces.

The role requires strong Python skills, experience with LangChain and OpenAI, and collaboration with backend teams to bring Gen AI capabilities into products. Hyderabad/Bangalore based, hybrid work.)

Qualifications

• Deep understanding of LLMs, prompts, and transformers.
• Hands-on with RAG architectures and vector search.
• Experience deploying AI models via APIs or microservices.

Responsibilities

• Design Generative AI solutions using LLMs (GPT, Claude, LLaMA).
• Develop and optimize RAG pipelines with vector stores.
• Build agentic workflows and conversational AI agents.
• Vectorization with models like GTE-large and BGE; fine-tuning optional.
• Collaborate with backend/app teams to integrate Gen AI.

Skills

LLMs

Prompt engineering

Transformer architectures

Agentic frameworks

APIs & microservices

Education

Bachelor's or Master’s in CS/AI

Tools

LangChain

Transformers

OpenAI SDK

Hugging Face

Job description

Lead Senior Associate | AI/ML/GenAI Integration
Location: Hyderabad/ Bangalore
Years of exp: 6 to 9 Years
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 Masters degree in Computer Science, Artificial Intelligence, or a related field
• Experience with cloud platforms such as AWS, GCP, or Azure, and CI/CD pipeline