AI Engineer (Graduate)

Work you’ll do

As an AI Engineer at SimplifyNext, you will be part of a hands-on engineering team building real-world AI and machine learning solutions that create meaningful impact for clients across ASEAN. You will work closely with consultants, architects, and domain experts to translate business problems into deployable AI models, generative AI workflows, and intelligent automation components.

You will have the opportunity to experiment with modern AI frameworks, build prototypes, fine-tune models, and implement AI capabilities end-to-end—from data preparation to deployment. This role is designed for fresh graduates who want to build, break, learn, and innovate within a supportive environment grounded in consulting excellence and deep engineering capability.

Your responsibilities would include but not limited to:

AI & Machine Learning Development

· Build and train machine learning models using Python and modern ML frameworks

· Experiment with generative AI technologies (LLMs, embeddings, prompt engineering, RAG, agentic workflows)

· Support fine-tuning, optimisation, and evaluation of AI models

· Develop reusable AI components and microservices

 

Data Engineering & Preparation

· Collect, clean, and transform datasets for training and inference

· Perform exploratory data analysis to uncover patterns and insights

· Document data assumptions, limitations, and preprocessing logic

 

Solution Engineering

· Contribute to AI solution design, model selection, architecture discussions, and implementation approaches

· Integrate AI models into applications, APIs, and automation workflows

· Build proof-of-concepts (POCs) and accelerate client adoption of AI

 

Testing, Deployment & Delivery

· Conduct model validation, scenario testing, and UAT with internal and client stakeholders

· Support deployment of AI models on cloud platforms (AWS/GCP/Azure) or containerised environments

· Monitor performance and support continuous improvement post-deployment

 

Collaboration & Consulting Exposure

· Work with functional SMEs to understand business problems and AI opportunities

· Translate complex concepts into simple, understandable terms for non-technical audiences

· Participate in workshops, demos, and client discussions as part of project teams

 

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, AI, Data Science, or a related field.

• 0–3 years of AI development experience (Fresh graduates are welcome to appl