Associate Staff Engineer (Machine Learning / LLM)

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 (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in!

Job Description

REQUIREMENTS:

• Experience: 5+ Years
• Hands-on experience with Python, AWS/Azure, Data Science, Gen AI tools (Azure Open AI, Langchain, vector DB), Software Engineering
• Good to Have : DevOps, CI/CD, Kubernetes. Product development Experience 
• Experience in creating GenAI applications such as answering engines, extraction components, and content authoring 
• Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex
• Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization
• Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques 
• Skilled in creating prompts that efficiently guide LLMs to generate outputs meeting business requirements 
• Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding 
• Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time. 

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.

Qualifications

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