Generative AI Engineer

Role Overview: As a Generative AI Engineer at our company, you will be a key member of our dynamic team, responsible for designing, building, and deploying cutting-edge generative models and applications. You will work on various tasks ranging from large language model (LLM) training and fine-tuning to developing sophisticated Natural Language Processing (NLP) solutions. If you are passionate about pushing the boundaries of artificial intelligence, we are excited to welcome you to our team. 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 for specific use cases to ensure optimal performance and accuracy - Develop and integrate retrieval augmented generation 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 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 major AI research institutions Qualification Required: - Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field - Proven hands-on experience in building and deploying Generative AI and Deep Learning models - Strong proficiency in Python and its core data science libraries such as TensorFlow, PyTorch, Hugging Face, and LangChain - In-depth knowledge of LLM architecture, LLM training methodologies, and fine-tuning techniques such as LoRA and QLoRA - Solid understanding of Neural Network fundamentals - Experience with NLP, including text processing and embedding preparation such as Word2Vec, GloVe, and sentence transformers - Practical experience implementing RAG pipelines and vector databases such as Pinecone and ChromaDB - Familiarity with APIs from major AI providers like OpenAI and Google - Strong problem-solving skills and the ability to work independently and in a team environment Additional Details of the Company: At GlobalLogic, we prioritize a culture of caring, where we consistently put people first across every region and department. You will experience an inclusive culture of acceptance and belonging, fostering meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. We are committed to continuous learning and development, providing you with numerous opportunities to grow personally and professionally. By joining us, you will have the chance to work on impactful projects, engage your curiosity, and contribute to cutting-edge solutions that shape the world today.,