PLM AI Engineer — Build Intelligent Support Bot & RAG Pipelines

Wipro Limited

Sunnyvale (CA)

On-site

USD 60,000 - 140,000

Full time

7 days ago
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Benefits offered by this job

Full range of medical and dental benefi
Disability insurance
Paid time off (inclusive of sick leave
Other paid and unpaid leave options

Job summary

Wipro Limited in Sunnyvale, California (onsite) is seeking an experienced PLM AI Engineer to design and implement an AI-powered support bot and agentic workflows for Hypercare query resolution. You will build retrieval-augmented capabilities pulling from incident tickets, knowledge bases, and PLM (Teamcenter), with Python-based backend services.

The role requires 3-5 years of AI for product software engineering, hands-on with Python, FastAPI, RAG, and Apple-approved AI frameworks, with a focus

Qualifications

  • Mandatory skills: AI for Product Software Engineering.
  • Experience: 3-5 years (minimum 3 years).

Responsibilities

  • Design and build an AI-powered support bot for Hypercare query resolution using a web/chat-based interface.
  • Develop agentic workflows that retrieve and synthesize answers from past incident tickets, knowledge bases and documentation, and PLM (Teamcenter) systems.
  • Implement RAG / multi-source retrieval pipelines to support contextual and accurate responses.
  • Build APIs and backend services using Python with FastAPI and Apple-approved AI frameworks.
  • Ensure compliance with Apple security, governance, and AI platform constraints.
  • Collaborate with Hypercare, PLM, and support teams to continuously improve response accuracy.

Skills

AI for Product Software Engineering

Tools

Python
FastAPI
RAG / multi-source retrieval
Apple-approved AI frameworks
Teamcenter
Web/chat-based applications

Job description

Wipro Limited in Sunnyvale, California (onsite) is seeking an experienced PLM AI Engineer to design and implement an AI-powered support bot and agentic workflows for Hypercare query resolution. You will build retrieval-augmented capabilities pulling from incident tickets, knowledge bases, and PLM (Teamcenter), with Python-based backend services.

The role requires 3-5 years of AI for product software engineering, hands-on with Python, FastAPI, RAG, and Apple-approved AI frameworks, with a focus

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