Generative AI Engineer

About the job

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
• LLM Architectures
• Python
• MLOps

Qualifications

• Bachelor's or master's degree in a related field

Preferred Technologies

• Generative AI
• Deep Learning
• LLM Architectures
• Python
• MLOps

About the company

GlobalLogic is a Hitachi Group Company and a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, GlobalLogic has been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences.