Associate Staff Engineer (Python + Agentic Workflows) at Nagarro Software Pvt Ltd

Mumbai City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, React, Next.js, LLMs, Agentic AI Workflows, Prompt Engineering, REST APIs, AI Orchestration, Full-stack Development, CI/CD, Cloud Deployment, RAG, Vector Databases, Software Architecture, Enterprise Automation, SSO Authentication

Industry

IT Services and IT Consulting

Description

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. Strong 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, and software engineering best practices. Maintain technical documentation, architecture designs, API integrations, deployment guides, and operational documentation. 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. Service Region: South Asia

Responsibilities

Design and deploy autonomous AI agents and agentic workflows to automate complex business processes across enterprise systems. Develop robust Python backends and modern React/Next.js frontends to provide intuitive interfaces for AI-powered applications.