Gen AI

About Company

: Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters.

Job Title : Gen AI Engineer

Location : Bangalore / Chennai

Experience : 5+ Years

Work Mode ( WFO / Remote / Hybrid) : Hybrid

Mode of Interview : F2F

Job Type : FTE

Notice Period : - Immediate joiners

Key Responsibilities

Design, develop, and deploy

AI / ML and Generative AI solutions

for enterprise applications.

Work on

transformer-based and diffuser-based models

such as

BERT, GPT, T5, LLaMA, Stable Diffusion , etc.

Implement

Retrieval-Augmented Generation (RAG)

pipelines, fine-tune

LLMs , and optimize

prompt engineering

for contextual and multi-turn conversations.

Integrate

multimodal

AI systems (text, image, video) using open-source and cloud-based frameworks.

Build and manage

vector databases

(e.g., FAISS, Pinecone, Chroma, Weaviate, Milvus) for efficient embedding storage and retrieval.

Work with

LangChain

or similar frameworks to orchestrate communication flows and connect LLMs with external data sources.

Collaborate with cross-functional teams to design scalable and secure AI architectures on the cloud.

Required Skills and Experience

AI / ML Expertise : Minimum

2 years

of experience developing and deploying

machine learning

and

AI-driven products .

Strong understanding of

transformers, diffusion models, embeddings, and LLM architectures .

Generative AI :

Hands-on experience with

LLMs

and

RAG approaches .

Familiarity with

prompt engineering ,

context-based prompting , and

multimodal AI .

Experience using

open-source models

from

Hugging Face

and frameworks like

LangChain .

Programming Languages :

Proficiency in

Python

is mandatory.

Additional experience with

C, C++, C#, or Java

is a plus.

Cloud Platforms :

Experience working on at least one cloud platform —

Microsoft Azure ,

AWS , or

Google Cloud Platform (GCP) .