Associate Staff Engineer, Generative AI at Nagarro1

REQUIREMENT: • Total experience 5+ years. • Deep understanding of Generative AI fundamentals and transformer-based architectures. • Must have experience with fine tunning models using (PEFT, LORA, Q-LORA)\ • Must have experience with Agentic AI & agents. • Should have experience with Text to SQL. • Proven experience with BERT, GPT, LLaMA, and similar LLMs. • Strong hands-on experience in prompt engineering and RAG techniques. • Experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers, LangChain, or equivalent. • Familiarity with multi-agent AI systems and collaborative model workflows. • Proficient in Python and machine learning libraries (e.g., PyTorch, TensorFlow). • Experience integrating models into enterprise platforms and APIs. • Should have sound experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems. • Understanding of ML Ops practices and CI/CD pipelines for AI deployment. • Background in Natural Language Processing (NLP) and Knowledge Engineering.RESPONSIBILITIES: • Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. • Mapping decisions with requirements and be able to translate the same to developers. • Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. • Defining guidelines and benchmarks for NFR considerations during project implementation • Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers • Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. • Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it • Understanding and relating technology integration scenarios and applying these learnings in projects • Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. • Carrying out POCs to make sure that suggested design/technologies meet the requirements.