Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

Nagarro

Staff Engineer, GENERATIVE-AI

Nagarro

Published 26 Nov 2025
Sri Lanka
Full Time

Share this job

Role Highlights

Languages used

Python

Key skills

Machine Learning
Generative AI
Prompt Engineering
Model Distillation
LLMs
RAG
Graph
Optimization
Transformers
Inference
Research
Staff Engineer

Tools, Libraries and Frameworks

HuggingFace
Azure
Neo4j
LLamaindex
Langchain

Description

Nagarro Staff Engineer, GENERATIVE-AI \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Staff Engineer, GENERATIVE-AI Full-time Service Region: South Asia Company 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! Job Description Must have Skills : Python (Strong), Generative AI Fundamentals (Strong), Machine Learning on Azure (Strong), Job Description : Design, develop, and deploy applications leveraging LLMs (e.g., GPT, LLaMA, Claude, Gemini, Mistral, BERT-family). Implement RAG pipelines integrating LLMs with vector or graph databases (e.g., Weaviate, Neo4j) for knowledge-grounded responses. Apply prompt engineering and prompt optimization techniques to enhance LLM performance. Perform fine-tuning, model distillation, and evaluation using standard GenAI metrics (BLEU, ROUGE, perplexity, semantic similarity, etc.). Develop and maintain robust AI workflows using frameworks such as LangChain, LlamaIndex, LangGraph, LangSmith, and Hugging Face Transformers. Collaborate with teams to integrate AI models into scalable production systems. Monitor model performance, troubleshoot issues, and continuously optimize inference pipelines. Stay up to date with emerging trends and research in Generative AI, Transformers, and LLM architectures. I'm interested I'm interested ImprintCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Staff Engineer, GENERATIVE-AI Remote, Sri Lanka Full-time I'm interested I'm interested

Required Qualifications and Skills

The role requires strong proficiency in Python and a strong understanding of Generative AI fundamentals. Experience with Machine Learning on Azure is also a mandatory skill. The position involves designing, developing, and deploying applications that leverage large language models such as GPT, LLaMA, Claude, Gemini, Mistral, and the BERT-family. Implementation of RAG pipelines integrating LLMs with vector or graph databases is expected, along with applying prompt engineering and optimization techniques. Fine-tuning, model distillation, and evaluation using standard GenAI metrics are also key requirements. Development and maintenance of AI workflows using frameworks like LangChain, LlamaIndex, LangGraph, LangSmith, and Hugging Face Transformers are necessary.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Nagarro

Size

21144

HQ

Munich, DE

Description

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 18,300 experts across 37 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

Share

Share this job

Related jobs

Machine Learning
Data Science
Data Engineer
Deep Learning
Mexico
Full Time
Machine Learning
Data Science
Data Engineer
Deep Learning
Mexico
Full Time
Scikit-learn
Machine Learning
Data Science
Data Analysis
India
Full Time