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    Home/Jobs/AI / Generative AI Engineer - Agentic Systems & Platforms - VOIS

    AI / Generative AI Engineer - Agentic Systems & Platforms - VOIS

    Vodafone

    Pune
    3-5 years
    Today
    ₹13–25 LPA
    Full-time
    Onsite

    Skills Required

    LangChain
    LLM
    RAG
    Agentic Workflows
    Vector Database
    Gen AI
    Python
    FastAPI
    Flask
    LangGraph
    Semantic Kernel
    Docker
    Kubernetes
    Azure
    AWS

    Description

    We are seeking an AI / Generative AI Engineer to design and build production-grade, enterprise-scale AI systems that deliver measurable business impact.

    Company: Vodafone

    Role: AI / Generative AI Engineer - Agentic Systems & Platforms - VOIS

    Location: Pune, Maharashtra, India

    Experience:

    • Experienced in building and deploying LLM-based applications, RAG systems, and agentic workflows
    • Experienced with at least one major cloud platform (Azure, AWS, or GCP)
    • Familiar with containerisation and deployment using Docker and Kubernetes

    Key Skills:

    • Python
    • backend engineering
    • LLM-powered applications
    • Retrieval-Augmented Generation (RAG) solutions
    • multi-agent workflows
    • FastAPI or Flask
    • data pipelines
    • vector databases
    • LangChain
    • LangGraph
    • Semantic Kernel
    • Docker
    • Kubernetes
    • cloud platforms

    Role Focus:

    • Build LLM-based copilots and intelligent assistants for enterprise use cases
    • Design and implement Retrieval-Augmented Generation (RAG) solutions using structured and unstructured data
    • Develop and orchestrate multi-agent workflows using modern frameworks and orchestration logic
    • Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
    • Integrate enterprise platforms and external APIs into scalable AI solutions
    • Build data pipelines for ingestion, transformation, and embedding workflows
    • Implement and manage vector databases, ensuring performance and reliability
    • Establish evaluation frameworks to assess LLM output quality and relevance
    • Implement observability practices including tracing, logging, and monitoring
    • Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines
    • Deploy AI solutions on cloud platforms using containerisation and orchestration tools
    • Embed security, privacy, GDPR compliance, and Responsible AI principles into all solutions

    Other:

    • Opportunities to work on cutting-edge, enterprise-scale AI systems
    • Exposure to complex, real-world use cases with measurable business impact
    • A collaborative environment that supports continuous learning and growth
    • Competitive salary and access to Vodafone’s global career development ecosystem
    • Advanced design of agentic AI systems and orchestration patterns
    • Enterprise-grade AI evaluation, observability, and feedback loop implementation
    • Scalable cloud deployment strategies for AI workloads
    • Practical application of Responsible AI and data governance in production systems
    • Commitment to creating an inclusive workplace where everyone can thrive

    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.

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

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