Senior Staff Engineer (RAG)

Remote, India

Nagarro

A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.

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Company Description

šŸ‘‹šŸ¼We'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: 10+ Years
  • Engineering experienceĀ of at least 3-5 years, with a minimum of 3 years overall experience and 9-12 months specifically in Generative AI (GENAI).
  • Strong skills in RAG, including experience with vector databases, optimization and validation, and setting up end-to-end pipelines.
  • Knowledge of retrieval mechanisms, such as dense and sparse retrieval, and familiarity with indexing techniques and retrieval algorithms.
  • Experience with fine-tuning (SFT)Ā and understanding of domain adoption and basic concepts in GENAI.
  • Proficiency in model training and evaluation, data preprocessing, and augmentation.
  • Understanding of transformer models and architectures.
  • Ability to integrate GENAI solutionsĀ into existing systems.
  • Knowledge of prompt engineeringĀ and experience with large language models (LLMs), including leveraging pre-trained models like GPT and BERT.
  • Technical skillsĀ in FastAPI and Python.
  • Strong communication skillsĀ to effectively collaborate with team members and stakeholders.

Ā 

RESPONSIBILITIES:

  • Understanding the clientā€™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 clientā€™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

Bachelorā€™s or masterā€™s degree in computer science, Information Technology, or a related field.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index šŸ’°

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Tags: Architecture BERT Computer Science Engineering FastAPI Generative AI GPT LLMs Model training Pipelines Prompt engineering Python RAG Security

Regions: Remote/Anywhere Asia/Pacific
Country: India

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