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Kuala Lumpur, Malaysia
Live, first seen by us 89 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and implement AI features for the Unified Partner Experience
Build integrations with Azure OpenAI and Alibaba Tongyi Qianwen / PAI
Develop MCP agents, tool integrations and RAG pipelines
Build data pipelines for extraction, transformation and vector storage
Add prompt engineering, evaluation, safety guardrails and monitoring to production AI
Design and implement AI-powered features for the Unified Partner Experience
Build integrations with Azure OpenAI and Alibaba Tongyi Qianwen / PAI
Develop MCP agents, tool integrations, and RAG pipelines
Build data pipelines for extraction, transformation, embedding generation, and vector storage
Implement prompt engineering, evaluation frameworks, safety guardrails, and monitoring for production AI services
Strong Python proficiency for data and AI engineering workloads.
Hands-on experience with Azure OpenAI Service or OpenAI APIs, including chat completions, embeddings, and function calling.
Experience building LLM-powered applications using RAG, agents, tool use, and prompt engineering.
Solid understanding of vector databases, embedding models, and Python-based ETL / ELT data pipelines.
5–8 years of software or data engineering experience, including 2+ years focused on AI / ML in production.
Experience with cloud AI services, Azure data / AI services, and API development using FastAPI, Flask, or ASP.NET.
Knowledge of MCP, agentic AI patterns, LangChain, Semantic Kernel, multilingual AI models, or responsible AI practices.
Strong communication, collaboration, transparency, and trust-building skills, especially when explaining AI limitations, risks, and production trade-offs.
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Day 89
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,362 similar postings that came down. Coming down is not always a hire.
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Essential requirements - Strong Python proficiency for data and AI engineering workloads. - Hands-on experience with Azure OpenAI Service or OpenAI APIs, including chat completions, embeddings, and function calling.
- Experience building LLM-powered applications using RAG, agents, tool use, and prompt engineering. - Solid understanding of vector databases, embedding models, and Python-based ETL / ELT data pipelines. - 5–8 years of software or data engineering experience, including 2+ years focused on AI / ML in production.
The job We are looking for a Data / AI Engineer to join AVEVA’s newly established AI & Digital Delivery hub in Kuala Lumpur. In this role, you will help deliver AI-first customer and partner experiences by designing and implementing production-ready AI features across global and regional platforms. You will work with Azure OpenAI, Alibaba Tongyi Qianwen / PAI, RAG pipelines, and MCP-based agent workflows to support capabilities such as assisted onboarding, intelligent data intake, exception handling, and AI-powered SaaS augmentation. Key responsibilities
- Design and implement AI-powered features for the Unified Partner Experience, including assisted intake, onboarding automation, and exception handling. - Build integrations with Azure OpenAI and Alibaba Tongyi Qianwen / PAI for global and regional AI capabilities. - Develop MCP agents, tool integrations, and RAG pipelines to support SaaS augmentation workflows.
- Strong Python proficiency for data and AI engineering workloads. - Hands-on experience with Azure OpenAI Service or OpenAI APIs, including chat completions, embeddings, and function calling. - Experience building LLM-powered applications using RAG, agents, tool use, and prompt engineering.
Desired skills - Experience with cloud AI services, Azure data / AI services, and API development using FastAPI, Flask, or ASP.NET. - Knowledge of MCP, agentic AI patterns, LangChain, Semantic Kernel, multilingual AI models, or responsible AI practices.
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably.
We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies.
If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.
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Job Title: Data / AI Engineer
Location: Kuala Lumpur, Malaysia
Employment Type: Regular, full-time, hybrid work arrangement
The job
We are looking for a Data / AI Engineer to join AVEVA’s newly established AI & Digital Delivery hub in Kuala Lumpur. In this role, you will help deliver AI-first customer and partner experiences by designing and implementing production-ready AI features across global and regional platforms. You will work with Azure OpenAI, Alibaba Tongyi Qianwen / PAI, RAG pipelines, and MCP-based agent workflows to support capabilities such as assisted onboarding, intelligent data intake, exception handling, and AI-powered SaaS augmentation.
Key responsibilities
Design and implement AI-powered features for the Unified Partner Experience, including assisted intake, onboarding automation, and exception handling.
Build integrations with Azure OpenAI and Alibaba Tongyi Qianwen / PAI for global and regional AI capabilities.
Develop MCP agents, tool integrations, and RAG pipelines to support SaaS augmentation workflows.
Build data pipelines for extraction, transformation, embedding generation, and vector storage.
Implement prompt engineering, evaluation frameworks, safety guardrails, and monitoring for production AI services.
Essential requirements
Strong Python proficiency for data and AI engineering workloads.
Hands-on experience with Azure OpenAI Service or OpenAI APIs, including chat completions, embeddings, and function calling.
Experience building LLM-powered applications using RAG, agents, tool use, and prompt engineering.
Solid understanding of vector databases, embedding models, and Python-based ETL / ELT data pipelines.
5–8 years of software or data engineering experience, including 2+ years focused on AI / ML in production.
Desired skills
Experience with cloud AI services, Azure data / AI services, and API development using FastAPI, Flask, or ASP.NET.
Knowledge of MCP, agentic AI patterns, LangChain, Semantic Kernel, multilingual AI models, or responsible AI practices.
Curiosity and aspiration to experiment with emerging AI technologies while balancing innovation with reliability and cost awareness.
Strong communication, collaboration, transparency, and trust-building skills, especially when explaining AI limitations, risks, and production trade-offs.
Additional proficiency in Mandarin is an advantage, as the role may involve supporting stakeholders and business activities in Mandarin-speaking markets.
IT at AVEVA
Our global team of 300+ IT professionals is responsible for the systems and platforms that keep AVEVA running. By empowering our colleagues and ensuring the smooth operation of the company, we help keep the business healthy and productivity high. We also provide key support for the transformation and modernisation efforts globally.
We pride ourselves on a collaborative, inclusive and authentic culture that provides a framework allowing for autonomy, whilst always being available for support and guidance. We respect the differences that each team member brings and seek to include those perspectives in our solutions for our business functions. The energy and sense of purpose is evident when talking to team members, you will feel part of something special from the first day you join.
You’ll also be joining an award-winning workplace. AVEVA is Great Place to Work® Certified™ in multiple countries, reflecting the culture our people create every day. Explore our awards and recognition.
Find out more: https://www.aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.
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Kuala Lumpur, Malaysia
Location: Kuala Lumpur, Malaysia Employment Type: Regular, full-time, hybrid work arrangement The job
Find out more: https://www.aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.