Staff Engineer, Generative AI

👋🏼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're looking for great new colleagues. That's where you come in!

REQUIREMENTS:

• Total experience 7+ years.
• Deep understanding of Generative AI fundamentals and transformer-based architectures.
• Strong hands-on experience with Python and AI/ML frameworks.
• Expertise in LLMs (GPT, BERT, LLaMA, etc.), LangChain, and HuggingFace.
• Experience implementing RAG architectures and prompt engineering.
• Good knowledge of Azure ML or other cloud ML platforms (AWS/GCP). 
• Proven track record in deploying AI/ML solutions into production environments.
• Familiarity with MLOps pipelines for automation and monitoring.
• Experience working on generative AI applications
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

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 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.

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