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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 a scale across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Job Description Requirements - Experience : 4+ years - Strong experience in full-stack software development with strong expertise in Python backend development and modern JavaScript frontend frameworks such as React, Next.js, or equivalent. - Robust programming skills in Python with experience building scalable backend services, REST APIs, and enterprise applications. - Hands-on experience developing production-grade AI applications using Large Language Models (LLMs), including function calling, tool usage, and agentic AI workflows. - Strong understanding of prompt engineering, system prompt design, tool definition, prompt optimization, and multi-step AI orchestration. - Experience designing and implementing autonomous AI agents capable of reasoning, retrieval, and enterprise task execution. - Experience integrating enterprise applications through REST APIs, including platforms such as SAP, Microsoft Graph, SharePoint, relational databases, and workflow systems. - Strong frontend development experience using React, Next.js, or similar frameworks to build responsive dashboards and interactive user interfaces. - Experience developing real-time applications, enterprise dashboards, and AI-powered web applications. - Experience deploying applications on cloud or on-premises environments with knowledge of SSO authentication, enterprise networking, and security best practices. - Hands-on experience with CI/CD pipelines, version control systems, and modern software deployment practices. - Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar productivity tools is preferred. - Experience building enterprise automation platforms, internal business tools, or operational dashboards is an advantage. - Exposure to Retrieval-Augmented Generation (RAG), vector databases, document processing pipelines, embeddings, and semantic search is desirable. - Strong understanding of software architecture, API integration, and scalable application development principles. - Excellent analytical, troubleshooting, and problem-solving skills with the ability to work independently in a fast-paced, evolving environment. - Strong verbal and written communication skills with the ability to collaborate effectively across cross-functional teams. - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. - Experience with DevOps practices, containerization, cloud platforms, and AI application deployment is an added advantage. Responsibilities - Design, develop, and deploy AI agents capable of autonomous reasoning, data retrieval, decision-making, and task execution across enterprise applications and business systems. - Build and optimize agentic AI workflows using LLMs, function calling, tool orchestration, and multi-step reasoning to automate complex business processes. - Develop robust Python backend services that orchestrate AI interactions, manage multi-turn conversations, execute enterprise API calls, and deliver structured, reliable responses. - Design, implement, and maintain modern frontend applications using React, Next.js, or equivalent frameworks to provide intuitive dashboards, real-time AI interactions, and user-friendly interfaces. - Develop one-click automation workflows, interactive dashboards, formatted response views, and conversational interfaces for enterprise users. - Integrate AI agents with enterprise platforms such as SAP, Microsoft SharePoint, Microsoft Graph, relational databases, approval systems, and other business applications through secure APIs. - Design and implement prompt engineering strategies, system prompts, tool definitions, and orchestration logic to ensure accurate, secure, and reliable AI agent behavior. - Develop intelligent enterprise automation solutions for document retrieval, business reporting, operational alerting, workflow automation, approval management, and data analysis. - Deploy and maintain AI applications on cloud or on-premises infrastructure with Single Sign-On (SSO), secure authentication, CI/CD pipelines, and enterprise networking configurations. - Collaborate with business stakeholders, product teams, architects, and developers to understand business requirements and translate them into scalable AI-powered solutions. - Optimize AI agent performance, reliability, scalability, and user experience through continuous testing, monitoring, debugging, and performance tuning. - Ensure AI applications follow enterprise security, governance .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
