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Staff Engineer, Generative-AI

7 - 12 years

9 - 14 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Total experience

    7+ years.
  • Deep understanding of Generative AI fundamentals and transformer-based architectures.
  • Strong experience in Cloud Architecture (e.g., AWS, Azure, GCP) for deploying scalable AI systems.
  • Hands on working experience in working with Generative AI models.
  • Strong working experience in Azure AI.
  • 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.
  • 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 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.

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

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Nagarro
Nagarro

Information Technology and Services

Berlin

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