Nagarro

Associate Staff Engineer, Generative AI

Nagarro

full-time

Posted on:

Location Type: Remote

Location: India

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Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchSQLTensorflow

About the role

  • 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.

Requirements

  • Total experience 5+ years.
  • Deep understanding of Generative AI fundamentals and transformer-based architectures.
  • Must have experience with fine tuning 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 in prompt 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 of ML Ops practices and CI/CD pipelines for AI deployment.
  • Background in Natural Language Processing (NLP) and Knowledge Engineering.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Generative AItransformer-based architecturesfine tuning modelsPEFTLORAQ-LORAAgentic AIText to SQLBERTGPT
Soft Skills
problem solvingcommunicationanalytical thinkingcollaborationtechnical design