Senior Staff Engineer (Python fullstack+Gen AI)

Nagarro; Pune District, Gurugram District, Bengaluru; Hybrid; INR 2,800,000 - 5,000,000; Full time

Job summary

Nagarro is seeking an experienced AI/ML engineer to design and scale GenAI solutions for enterprise workloads. You will work on end-to-end architectures, from data processing to model deployment, across GCP/Azure/AWS. The role emphasizes prompt engineering, RAG patterns, and scalable API exposure using FastAPI.

You will collaborate with cross-functional teams, implement CI/CD pipelines, and drive production-ready GenAI deployments while ensuring performance, security, and reliability.

Qualifications

• 7.5+ years of software/AI engineering experience required.
• Proven Python expertise with clean, scalable code.

Responsibilities

• Translate client requirements into technical designs.
• Guide developers from design to implementation and reviews.
• Define benchmarks/NFRs and ensure best practices across architectures.
• Create and review architecture/design docs for scalable AI solutions.
• POCs to validate suggested designs and technologies.

Skills

Python programming

React

LLMs/Transformers

Prompt engineering

RAG patterns

LangChain/LlamaIndex

LangSmith/HuggingFace

CI/CD (GitHub Actions/Argo)

Docker/Kubernetes

APIs with FastAPI

Cloud AI services (GCP/Azure/AWS)

Vector DBs (Weaviate/Neo4j)

Model fine-tuning/distillation

Tools

Docker

Kubernetes

GitHub Actions

Argo

Weaviate

Neo4j

LangChain

LlamaIndex

LangGraph

Hugging Face Transformers

PyTorch

TensorFlow

Job 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 (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.