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Senior Staff Engineer (Python fullstack+Gen AI)

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Hybrid

Senior Staff Engineer (Python fullstack+Gen AI)

Nagarro

Senior Staff Engineer (Python fullstack+Gen AI)

Skills

Google Cloud PlatformDockerReactPythonPyTorchTensorFlowNeo4jMachine LearningAIAWSGitHubKubernetesFastAPIAzure

3 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

16 October 2026

What they need


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: 7.5+ years.
  • Very strong Python programming skills with a track record of clean, efficient, and maintainable code.
  • Should have experience with React (or some other JS frameworks) for building user-facing interfaces and front-end integrations
  • Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
  • Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
  • High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
  • Experience implementing RAG architectures and prompt engineering.
  • Strong experience with fine-tuning and distillation techniques and evaluation.
  • Strong experience using managed AI/ML services on the target cloud platform(e.g., Azure Machine Learning Studio, AI Foundry).
  • Strong understanding of vector databases (e.g., Weaviate, Neo4j)
  • understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human evaluation).
  • Hands on Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Argo) for scalable AI infra
  • Should be able to build and expose APIs using FastAPI, integrating with databases.
  • Should be able to scale GenAI solutions to support enterprise workloads.
  • Proven production experience with GenAI deployments on GCP, Azure or AWS.
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams

RESPONSIBILITIES:

  • Understanding the clients 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.

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