Generative AI Engineer

About the job

Description GlobalLogic is looking for a highly skilled and innovative Generative AI Engineer to join our dynamic AI team. In this role, you will be at the forefront of next-generation AI development, designing, building, and deploying cutting-edge Generative AI and Deep Learning solutions. You will work across the full AI lifecycle from LLM training and fine-tuning to building advanced NLP systems and production-grade RAG pipelines. If you are passionate about pushing the boundaries of artificial intelligence and solving real-world problems at scale, we want to hear from you. Requirements • 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. • Experience with MLOps practices and tools such as Docker, Kubernetes, and MLflow for model deployment, monitoring, and lifecycle management. • Familiarity with cloud platforms including AWS, GCP, and Azure for scalable AI solution deployment. • Experience integrating APIs from major AI providers such as OpenAI and Google. • 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. Job 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.

Requirements

• Generative AI
• Deep Learning
• NLP
• Python

Preferred Technologies

• Generative AI
• Deep Learning
• NLP
• Python

About the company

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.