Overview

GlobalLogic is looking for a highly skilled and innovative Generative AI Engineer to join our dynamic AI team.

Responsibilities

• Design, develop, and deploy advanced Generative AI solutions using state-of-the-art models and frameworks.
• Train, fine-tune, and optimize Large Language Models (LLMs) for domain-specific use cases.
• Implement and enhance Retrieval-Augmented Generation (RAG) pipelines with vector databases.
• Build robust Deep Learning and Neural Network architectures for scalable AI systems.
• Apply NLP techniques including text classification, sentiment analysis, NER, and embedding generation.
• Manage the end-to-end AI lifecycle: data preprocessing, embedding preparation, model training, evaluation, deployment, and monitoring.
• Develop clean, efficient, and well-documented Python code.
• Collaborate with cross-functional teams (Product, Engineering, Data Science) to deliver high-impact AI capabilities.
• Stay current with the latest AI advancements, tools, and research.

Qualifications

• 2- 5 years of experience in building and deploying Generative AI and Deep Learning models in production environments.
• Strong understanding of Neural Network fundamentals, including model architectures, optimization techniques, and performance evaluation.
• In-depth knowledge of Large Language Model (LLM) architectures, training methodologies, and fine-tuning techniques such as LoRA and QLoRA.
• Practical experience in Natural Language Processing (NLP) and embedding techniques, including Word2Vec, GloVe, and Sentence Transformers.
• Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases such as Pinecone and ChromaDB.
• Strong proficiency in Python and core data science libraries/frameworks, including TensorFlow, PyTorch, Hugging Face, and LangChain.
• Familiarity with cloud platforms including AWS, GCP, and Azure for scalable AI solution deployment.
• Excellent problem-solving skills with the ability to work both independently and collaboratively in cross-functional teams.
• Contributions to open-source AI/ML projects or a strong project portfolio demonstrating practical expertise.
• Published research in AI, NLP, or Machine Learning is a plus.

Benefits

• 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!
• About GlobalLogic
• GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.