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
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Experience : 4+ years
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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.
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Strong programming skills in Python with experience building scalable backend services, REST APIs, and enterprise applications.
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Hands-on experience developing production-grade AI applications using Large Language Models (LLMs), including function calling, tool usage, and agentic AI workflows.
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Strong understanding of prompt engineering, system prompt design, tool definition, prompt optimization, and multi-step AI orchestration.
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Experience designing and implementing autonomous AI agents capable of reasoning, retrieval, and enterprise task execution.
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Experience integrating enterprise applications through REST APIs, including platforms such as SAP, Microsoft Graph, SharePoint, relational databases, and workflow systems.
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Strong frontend development experience using React, Next.js, or similar frameworks to build responsive dashboards and interactive user interfaces.
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Experience developing real-time applications, enterprise dashboards, and AI-powered web applications.
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Experience deploying applications on cloud or on-premises environments with knowledge of SSO authentication, enterprise networking, and security best practices.
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Hands-on experience with CI/CD pipelines, version control systems, and modern software deployment practices.
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Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar productivity tools is preferred.
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Experience building enterprise automation platforms, internal business tools, or operational dashboards is an advantage.
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Exposure to Retrieval-Augmented Generation (RAG), vector databases, document processing pipelines, embeddings, and semantic search is desirable.
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Strong understanding of software architecture, API integration, and scalable application development principles.
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Excellent analytical, troubleshooting, and problem-solving skills with the ability to work independently in a fast-paced, evolving environment.
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Strong verbal and written communication skills with the ability to collaborate effectively across cross-functional teams.
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Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
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Experience with DevOps practices, containerization, cloud platforms, and AI application deployment is an added advantage.
Responsibilities
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Design, develop, and deploy AI agents capable of autonomous reasoning, data retrieval, decision-making, and task execution across enterprise applications and business systems.
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Build and optimize agentic AI workflows using LLMs, function calling, tool orchestration, and multi-step reasoning to automate complex business processes.
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Develop robust Python backend services that orchestrate AI interactions, manage multi-turn conversations, execute enterprise API calls, and deliver structured, reliable responses.
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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.
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Develop one-click automation workflows, interactive dashboards, formatted response views, and conversational interfaces for enterprise users.
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Integrate AI agents with enterprise platforms such as SAP, Microsoft SharePoint, Microsoft Graph, relational databases, approval systems, and other business applications through secure APIs.
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Design and implement prompt engineering strategies, system prompts, tool definitions, and orchestration logic to ensure accurate, secure, and reliable AI agent behavior.
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Develop intelligent enterprise automation solutions for document retrieval, business reporting, operational alerting, workflow automation, approval management, and data analysis.
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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.
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Collaborate with business stakeholders, product teams, architects, and developers to understand business requirements and translate them into scalable AI-powered solutions.
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Optimize AI agent performance, reliability, scalability, and user experience through continuous testing, monitoring, debugging, and performance tuning.
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Ensure AI applications follow enterprise security, governance, and software engineering best practices.
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Maintain technical documentation, architecture designs, API integrations, deployment guides, and operational documentation.
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Stay updated with emerging AI technologies, LLM capabilities, and enterprise automation trends to continuously improve solution capabilities.
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
