Nagarro Associate Staff Engineer, Generative AI \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Associate Staff Engineer, Generative AI Full-time Service Region: South Asia Company Description We're Nagarro, we are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Job Description REQUIREMENT: Total experience5+ 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 inprompt 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 ofML Ops practices and CI/CD pipelines for AI deployment. Background in Natural Language Processing (NLP) and Knowledge Engineering. RESPONSIBILITIES: Understanding the clients 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 clients 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. Qualifications Bachelors or masters degree in computer science, Information Technology, or a related field. Videos To Watch I'm interested I'm interestedPrivacy Notice ImprintCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. × Continue Associate Staff Engineer, Generative AI Remote, India Full-time I'm interested I'm interested

The role requires a total of 5+ years of experience, with a deep understanding of Generative AI fundamentals and transformer-based architectures. Specific experience is needed in fine-tuning models using PEFT, LORA, and Q-LORA, as well as with Agentic AI and agents. Proficiency in prompt engineering and RAG techniques is essential, along with experience in fine-tuning and deploying models using frameworks like Hugging Face Transformers or LangChain. A background in Python and machine learning libraries such as PyTorch or TensorFlow is required, alongside experience integrating models into enterprise platforms and APIs. Familiarity with multi-agent AI systems and collaborative model workflows is also noted. The position requires sound experience in Cloud Architecture (AWS, Azure, GCP) for deploying scalable AI systems and an understanding of ML Ops practices and CI/CD pipelines for AI deployment. A background in Natural Language Processing (NLP) and Knowledge Engineering is also necessary. Candidates should hold a Bachelors or masters degree in computer science, Information Technology, or a related field.