Generative AI Engineer

Top Gen AI Jobs

Gurugram District

Hybrid

INR 3,219,000 - 5,062,000

Full time

5 days ago

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Job summary

GlobalLogic is hiring a Generative AI Engineer for its Engineering function. The role focuses on building and deploying GenAI, LLM, and RAG solutions in a hybrid work model.

Company: GlobalLogic

Role: Generative AI Engineer (4 to 8 years of experience) IRC279043

Location: India - Gurgaon, Noida; Noida / Gurugram GlobalLogic office; Hybrid

Qualifications

Bachelor’s degree in Computer Science, AI, Machine Learning, or a related field
Master’s degree in Computer Science, AI, Machine Learning, or a related field

Responsibilities

Design, develop, and implement advanced Generative AI solutions
Train, fine-tune, and evaluate LLMs for specific use cases
Develop and integrate RAG systems with external knowledge bases
Apply Deep Learning and Neural Network expertise to build robust and scalable AI systems
Use NLP techniques for text classification, sentiment analysis, and named entity recognition
Manage the full lifecycle of AI models from embedding preparation and data preprocessing through deployment and monitoring
Write clean, efficient, and well-documented code in Python
Collaborate with product managers, data scientists, and software engineers
Stay current with the latest advancements, including new models from OpenAI and other research institutions

Skills

LLM

RAG

Agentic GenAI

Gen AI

Hugging Face

LangChain

sentence transformers

OpenAI

Deep Learning

NLP

Python

TensorFlow

PyTorch

LoRA

QLoRA

Education

Bachelor’s degree in Computer Science, AI, Machine Learning, or a related field

Master’s degree in Computer Science, AI, Machine Learning, or a related field

Job description

Job Description

Home/Jobs/Generative AI Engineer

Generative AI Engineer

GlobalLogic

Gurugram / Noida

4-8 years

Today

$33.7K–53.0K/yr

Full-time

Hybrid

Skills Required

Agentic GenAI

Gen AI

Hugging Face

LangChain

sentence transformers

OpenAI

Deep Learning

Python

TensorFlow

PyTorch

LoRA

QLoRA

Description

GlobalLogic is hiring a Generative AI Engineer for its Engineering function. The role focuses on building and deploying GenAI, LLM, and RAG solutions in a hybrid work model.

Company: GlobalLogic

Role: Generative AI Engineer (4 to 8 years of experience) IRC279043

Location: India - Gurgaon, Noida; Noida / Gurugram GlobalLogic office; Hybrid

Experience

4-8 years

5-10 years

Started career with AI/ML or as a Data Scientist and moved into GenAI with LLM and RAG

Hands-on experience in building and deploying Gen AI and Deep Learning models

Strong proficiency in Python and core data science libraries

In-depth knowledge of LLM architecture, training methodologies, and fine-tuning techniques such as LoRA and QLoRA

Experience with NLP, including text processing and embedding preparation

Practical experience implementing RAG pipelines and vector databases

Familiarity with APIs from major AI providers like OpenAI and Google

Strong problem-solving skills

Ability to work independently and in a team environment

Qualification

Bachelor’s degree in Computer Science, AI, Machine Learning, or a related field

Master’s degree in Computer Science, AI, Machine Learning, or a related field

Responsibilities

Design, develop, and implement advanced Generative AI solutions

Train, fine-tune, and evaluate LLMs for specific use cases

Develop and integrate RAG systems with external knowledge bases

Apply Deep Learning and Neural Network expertise to build robust and scalable AI systems

Use NLP techniques for text classification, sentiment analysis, and named entity recognition

Manage the full lifecycle of AI models from embedding preparation and data preprocessing through deployment and monitoring

Write clean, efficient, and well-documented code in Python

Collaborate with product managers, data scientists, and software engineers

Stay current with the latest advancements, including new models from OpenAI and other research institutions

Additional Responsibilities

Work in a hybrid model

Work from Noida or Gurugram GlobalLogic office

Work on 5 days working schedule

Contribute within the Engineering function

Nice To Have

Experience with MLOps practices and tools such as Docker, Kubernetes, and MLflow

Familiarity with cloud computing platforms such as AWS, GCP, and Azure

Contributions to open-source AI/ML projects or a portfolio of relevant work

Published research in AI, NLP, or Machine Learning

More Skills

Generative AI - LLMs, Neural networks, Retrieval-Augmented Generation (RAG), LLM architecture, LLM training, fine-tuning, Word2Vec, GloVe, Pinecone, ChromaDB, Google, text classification, sentiment analysis, named entity recognition, embedding preparation, data preprocessing, model deployment, monitoring

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