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) .