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

GlobalLogic; Gurgaon; On-site; INR 2,500,000 - 4,200,000; Full time

Benefits offered by this job

Flexible work schedules

Work from home options

Learning & Development programs

Health insurance

Competitive salary

Job summary

GlobalLogic is seeking a Generative AI Engineer (4–8 years) in India. The role focuses on building Gen AI solutions, training LLMs, and implementing RAG systems with strong Python and DL background.

You will work across AI/ML workloads, collaborate with cross-functional teams, and contribute to cutting-edge NLP and embedding techniques in a fast-paced environment.

Qualifications

• Bachelor’s or Master’s in CS, AI, ML or related field.
• Hands-on Gen AI and DL model deployment experience.
• Strong Python and data science library skills (TensorFlow, PyTorch, Hugging Face, LangChain).
• In-depth knowledge of LLMs, training, fine-tuning (LoRA, QLoRA).
• NLP with text processing and embeddings experience.

Responsibilities

• Design and implement Gen AI solutions using state-of-the-art models.
• Train, fine-tune, and evaluate LLMs for use cases.
• Develop RAG systems with external knowledge bases.
• Apply deep learning and neural network expertise to scalable AI systems.
• Utilize NLP for text classification, sentiment analysis, NER.
• Manage life cycle of AI models from data prep to deployment and monitoring.
• Write clean, well-documented Python code.
• Collaborate with product managers, data scientists, and engineers.
• Stay updated with OpenAI and other research advances.

Skills

GenAI

Deep Learning

Generative AI

LLMs

Neural nets

NLP

Python

RAG

Education

Bachelor/Master in CS or related

Tools

TensorFlow

PyTorch

Hugging Face

LangChain

Job description

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

Designation

Senior Software Engineer

Function

Engineering

Experience

5-10 years

Location

India - Gurgaon, Hyderabad, Nagpur

Skills

Agentic GenAI, Deep Learning, Generative AI, Generative AI - LLMs, Neural networks, NLP, Python, Retrieval-Augmented Generation (RAG)

Work Location 5 days working: Hyderabad GlobalLogic office

we need a Person who started carrer with AI/ML or as Data Scientist and Now into Gen AI with LLM RAG

along with Python , Finetuning

Requirements

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Proven hands-on experience in building and deploying Gen AI and Deep Learning models.
• Strong proficiency in Python and its core data science libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).
• In-depth knowledge of LLM architecture, LLM training methodologies, and fine-tuning techniques (e.g., LoRA, QLoRA).
• Solid understanding of Neural Network fundamentals.
• Experience with NLP, including text processing and embedding preparation (e.g., Word2Vec, GloVe, sentence transformers).
• Practical experience implementing RAG pipelines and vector databases (e.g., Pinecone, ChromaDB).
• Familiarity with APIs from major AI providers like OpenAI, Google.
• Strong problem-solving skills and the ability to work independently and in a team environment.

Preferred Qualifications

• Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
• Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure).
• Contributions to open-source AI/ML projects or a portfolio of relevant work.
• Published research in the field of AI, NLP, or Machine Learning.

Job responsibilities

Key Responsibilities:

• Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques.
• Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy.
• Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses with external knowledge bases.
• Apply expertise in Deep Learning and Neural Networks to build robust and scalable AI systems.
• Utilize Natural Language Processing (NLP) techniques for tasks such as text classification, sentiment analysis, and named entity recognition.
• Manage the full lifecycle of AI models, including embedding preparation, data preprocessing, model deployment, and monitoring.
• Write clean, efficient, and well-documented code, primarily in Python.
• Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to deliver high-impact AI features.
• Stay current with the latest advancements in the field, including new models from OpenAI and other research institutions.

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!