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    Home/Jobs/Associate Staff Engineer (Python + Agentic Workflows)

    Associate Staff Engineer (Python + Agentic Workflows)

    Nagarro

    South Asia
    4+ years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Agentic AI workflows
    Prompt Engineering
    Retrieval-Augmented Generation (RAG)
    Vector Database
    Python
    JavaScript
    React
    Next.js
    System Design
    REST API
    Semantic search
    CI/CD pipelines
    Version control systems
    Cloud platforms

    Description

    We're looking for an Associate Staff Engineer with expertise in Python and agentic workflows to join our team at Nagarro, a Digital Product Engineering company.

    Company: Nagarro

    Role: Associate Staff Engineer (Python + Agentic Workflows)

    Location: South Asia

    Experience:

    • 4+ years
    • Experience building scalable backend services, REST APIs, and enterprise applications
    • Hands-on experience developing production-grade AI applications using Large Language Models (LLMs)
    • Experience integrating enterprise applications through REST APIs

    Key Skills:

    • Python
    • JavaScript
    • React
    • Next.js
    • Large Language Models (LLMs)
    • Agentic AI workflows
    • Prompt engineering
    • System prompt design
    • Tool definition
    • Multi-step AI orchestration
    • Autonomous AI agents
    • REST APIs
    • SAP
    • Microsoft Graph
    • SharePoint
    • CI/CD pipelines
    • Version control systems

    Qualification:

    • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline
    • Bachelor’s or master’s degree in computer science, Information Technology, or a related field

    Role Focus:

    • Design, develop, and deploy AI agents capable of autonomous reasoning, data retrieval, decision-making, and task execution
    • Build and optimize agentic AI workflows using LLMs, function calling, tool orchestration, and multi-step reasoning
    • Develop robust Python backend services that orchestrate AI interactions
    • Design, implement, and maintain modern frontend applications using React, Next.js, or equivalent frameworks
    • Integrate AI agents with enterprise platforms such as SAP, Microsoft SharePoint, Microsoft Graph, relational databases

    Additional responsibilities:

    • Collaborate with business stakeholders, product teams, architects, and developers to understand business requirements
    • 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

    Nice to have:

    • Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar productivity tools
    • Experience building enterprise automation platforms, internal business tools, or operational dashboards
    • Exposure to Retrieval-Augmented Generation (RAG), vector databases, document processing pipelines, embeddings, and semantic search
    • Experience with DevOps practices, containerization, cloud platforms, and AI application deployment

    Other:

    • Dynamic and non-hierarchical work culture
    • 18500+ experts across 40 countries
    • Full-time position

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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