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Ai / Generative Ai Engineer - Agentic Systems & Platforms

India, Pune · Job Posted June 10, 2026
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Job Description

We are seeking an AI / Generative AI Engineer to design and build production‑grade, enterprise‑scale AI systems that deliver measurable business impact. This role focuses on developing LLM‑powered applications, agentic workflows, and robust backend services, working closely with data, platform, and product teams to enable AI‑driven automation across customer‑facing and internal platforms.

Job Responsibility

  • 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

Requirements

  • Strong Python and backend engineering expertise
  • Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
  • Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
  • Knowledgeable in data engineering concepts, including data pipelines and vector databases
  • Experienced with at least one major cloud platform (Azure, AWS, or GCP)
  • Familiar with containerisation and deployment using Docker and Kubernetes
  • Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
  • Committed to secure, ethical, and responsible use of AI technologies

What we offer

  • 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
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