AI Engineer – PLM
TEKNIKOZAbout the role
Please Note: PLM experience is Mandatory. We require only GC candidates. No other Visas will work.
Position Overview
We are seeking a highly skilled AI Engineer to design and deliver an AI-powered support bot for Hypercare query resolution. This role focuses on building intelligent agentic workflows, integrating enterprise systems, and ensuring compliance with governed environments. The engineer will collaborate with Hypercare, PLM, and support teams to enable faster, more accurate incident .
Key Responsibilities
Design and build an AI-powered support bot (web/chat-based) for Hypercare query resolution
Develop agentic workflows to retrieve and synthesise answers from:
Past incident tickets
Knowledge bases and documentation
PLM (Teamcenter) systems
Implement RAG / multi-source retrieval pipelines for contextual and accurate responses
Build APIs and backend services using Python (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
Core Requirements
Strong experience in Python backend development (FastAPI preferred)
Hands-on in building LLM-based systems (RAG, agentic workflows, knowledge assistants)
Experience in data integration from multiple enterprise systems (tickets, logs, APIs)
Good understanding of support workflows, incident triage, and knowledge management systems
Strong API design, microservices, and distributed system fundamentals
Preferred / Good to Have
Experience in PLM domain (Agile / Teamcenter)
Exposure to Hypercare / production support environments
Experience working with enterprise AI platforms and governed environments
Success Criteria
Reduce mean time to resolution (MTTR) during Hypercare
Enable self-service query resolution for support engineers
Deliver a scalable AI support framework for future releases
Responsibilities
- Design and build an AI-powered support bot for Hypercare query resolution
- Develop agentic workflows to retrieve and synthesise answers from past incident tickets, knowledge bases, and PLM systems
- Implement RAG / multi-source retrieval pipelines for contextual and accurate responses
- Build APIs and backend services using Python (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
Qualifications
- Strong experience in Python backend development (FastAPI preferred)
- Hands-on in building LLM-based systems
- Experience in data integration from multiple enterprise systems
- Good understanding of support workflows, incident triage, and knowledge management systems
- Strong API design, microservices, and distributed system fundamentals
Skills mentioned
About TEKNIKOZ
TEKNIKOZ is a platform for like minded techies who want to deliver their best. The idea behind TEKNIKOZ originated from our two decades of first-hand experience in the world of IT services serving companies globally by providing Technology Recruiting solutions. With collective knowledge of our professionals, TEKNIKOZ has built strong partnerships and delivered right talent at the right time to help succeed. With this platform, we intend to retrieve those talented gems that are lost in the ocean of IT Outsourcing factory. What we do is essentially staffing but with a difference - a huge difference. Our objective is to enable people to find their true potential and we do everything we can to make it happen. We’ve built a culture of trust and transparency & we only employ people who share this same passion. We aim to bring a more genuine approach to recruitment, and build long-term relationships with the businesses and candidates we support. We love what we do and take pride in it. We will always strive to make people who connect with us (customers or consultants) happy. That’s the reward we truly strive for.