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Nagarro

Staff Engineer, Data Science

Nagarro

Published 27 Aug 2025
Sri Lanka
Full Time

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Role Highlights

Languages used

Python

Key skills

Conversational AI
Integrations
API
Customer Success
Operations
TroubleShooting
Automation
Data
OCR
Interfaces
Infrastructure
LLMs
RAG
Startup
Data Science
Staff Engineer

Tools, Libraries and Frameworks

OpenAI
Langchain

Description

Nagarro Staff Engineer, Data Science \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Staff Engineer, Data Science Full-time Service Region: South Asia Job Description Role Overview: To build intelligent conversational AI systems that revolutionize field operations and customer support. You''ll focus on creating RAG-powered knowledge management systems and troubleshooting agents that make operational expertise instantly accessible worldwide. Job Description : Build comprehensive RAG-based AI agents that provide instant access to safety procedures, operations manuals, warranty information, maintenance logs, and troubleshooting guidance Conversational AI Development. Create LLM-powered customer support agents for alarm diagnosis, KB article generation, and real-time troubleshooting assistance Document Processing & Automation. Extract structured data from logs, field reports, and operational documents using OCR and document processing pipelines, then integrate into automated workflows via N8N. Building retrieval-augmented generation systems that turn operational documentation into conversational AI interfaces Cross-Functional Collaboration. Working with field operations and customer success teams to understand knowledge management needs and build practical solutions Automation Infrastructure. Developing workflow automation for maintenance scheduling, notifications, and customer communications Who You Are AI-First Mindset. Deep interest in LLMs, RAG systems, and conversational AI applications Problem-Solving Focus. Comfortable translating complex operational needs into AI-powered solutions Collaborative & Autonomous. Able to work independently while partnering closely with non-technical stakeholders Growth-Oriented. Eager to expand your skillset in a fast-paced startup environment. Experience 3+ years as a technical contributor working with LLMs, RAG systems, or conversational AI. Strong Python skills with experience in LangChain, OpenAI APIs, or similar LLM frameworks. Experience with document processing, text extraction, and knowledge base development. Familiarity with workflow automation tools and API integrations. 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, Data Science Remote, Sri Lanka Full-time I'm interested I'm interested

Required Qualifications and Skills

The role requires at least three years of experience as a technical contributor working with LLMs, RAG systems, or conversational AI. Proficiency in Python is essential, along with experience in frameworks like LangChain or OpenAI APIs. The candidate should have experience with document processing, text extraction, and knowledge base development. Familiarity with workflow automation tools and API integrations is also 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.

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