AI Engineer (Graduate)

<div class="content-intro"><p>SimplifyNext empowers organizations to thrive by simplifying complexities and unlocking next-generation technologies. Trusted by 150+ organizations, we drive measurable business impact through intelligent automation, AI-driven innovation, and next-gen applications.&nbsp;</p> <p>With a team of more than 200 professionals, we operate from our headquarters in Singapore and offices in Thailand and Malaysia, serving clients across Asia Pacific and the Middle East. Recognized among Singapore’s 100 Fastest Growing Companies and Asia Pacific High-Growth Companies from 2023 to 2025.</p> <p>We partner with leading global technology providers, including Microsoft, AWS, ServiceNow, UiPath, Automation Anywhere, SS&amp;C Blue Prism, OutSystems, Workato, ABBYY, etc. Our customers span leading global and regional organizations across industries such as Banking &amp; Financial Services, Healthcare, Education, Manufacturing, Real Estate, Logistics, Transportation, Technology, Public Sector, and Defense.</p></div><p><strong>Work you’ll do</strong></p> <p>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.</p> <p>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.</p> <p>Your responsibilities would include but not limited to:</p> <p><strong>AI &amp; Machine Learning Development</strong></p> <p>· Build and train machine learning models using Python and modern ML frameworks</p> <p>· Experiment with generative AI technologies (LLMs, embeddings, prompt engineering, RAG, agentic workflows)</p> <p>· Support fine-tuning, optimisation, and evaluation of AI models</p> <p>· Develop reusable AI components and microservices</p> <p>&nbsp;</p> <p><strong>Data Engineering &amp; Preparation</strong></p> <p>· Collect, clean, and transform datasets for training and inference</p> <p>· Perform exploratory data analysis to uncover patterns and insights</p> <p>· Document data assumptions, limitations, and preprocessing logic</p> <p>&nbsp;</p> <p><strong>Solution Engineering</strong></p> <p>·