[Hiring] Associate Staff Engineer, Generative AI @Nagarro

Role Description

We are looking for a professional with a deep understanding of Generative AI fundamentals and transformer-based architectures. The ideal candidate will have experience in the following areas:

• Total experience: 5+ years
• Fine-tuning models using PEFT, LORA, Q-LORA
• Agentic AI & agents
• Text to SQL
• Proven experience with BERT, GPT, LLaMA, and similar LLMs
• Strong hands-on experience in prompt engineering and RAG techniques
• 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)
• Integrating models into enterprise platforms and APIs
• 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 converting them into a technical design that meets the requirements.
• Mapping decisions with requirements and translating them to developers.
• Identifying different solutions and narrowing down the best option that meets the client’s requirements.
• Defining guidelines and benchmarks for NFR considerations during project implementation.
• Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for developers.
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., ensuring that all relevant best practices are followed.
• Developing and designing the overall solution for defined functional and non-functional requirements; defining technologies, patterns, and frameworks to materialize it.
• Understanding and relating technology integration scenarios and applying these learnings in projects.
• Resolving issues raised during code/review through exhaustive systematic analysis of the root cause and justifying the decisions taken.
• Carrying out POCs to ensure that suggested designs/technologies meet the requirements.

Qualifications

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Service Region

• South Asia