AI Engineer (Graduate)
SimplifyNext · Singapore ·
- Category
- AI engineering
- Experience
- 0+ years
- Company size
- 201-500
SimplifyNext · Singapore ·
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A graduate-level AI engineer role at a Singapore-based digital engineering consultancy, building and deploying machine learning, generative AI (LLMs, RAG, agentic workflows), and intelligent automation solutions for clients across ASEAN. Day-to-day involves Python/ML development, data preparation, prototyping, and cloud deployment.
SimplifyNext is a Singapore-headquartered digital engineering firm, with offices in Thailand and Malaysia, working across three converged areas: agentic AI, AI-enabled application modernisation, and intelligent automation.
We bring strong business process consulting together with deep technology skills and modern delivery practices – product-centric, agile and AI-assisted. We build bespoke applications and AI systems, and we go deep on the platforms our clients run on, including Microsoft, AWS, ServiceNow, Databricks and UiPath. That combination of engineering depth and platform depth is what our clients come to us for.
We build and modernise the systems people depend on daily. Our 300+ practitioners are multi-disciplinary by design – business consultants, software engineers, architects, AI engineers and designers working on the same delivery, not handing off between silos. We focus on delivering outcomes for clients, building strong careers for our people, and staying ahead of the technology curve. We hire because we are growing.
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 apply)
• Strong foundation in Python, algorithms, and data structures
• Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or HuggingFace
• Understanding of ML fundamentals: supervised/unsupervised learning, model evaluation, feature engineering
• Knowledge of cloud platforms (AWS, GCP, Azure) is a plus
• Familiarity with Git, REST APIs, or notebook-based development is beneficial
• Strong analytical thinking, curiosity, and problem-solving skills
• Passion for AI, experimentation, building things, and delivering quality work
Why Join Us
· Be part of a fast-growing consulting and technology firm driving AI, automation, and next-gen engineering
· Work on high-impact challenges across ASEAN, delivering real-world AI solutions
· Gain hands-on experience from day one with industry experts, architects, and consultants
· Contribute to innovation programmes, accelerators, and AI Centres of Excellence
· Grow rapidly through certifications, mentorship, structured enablement, and exposure to emerging AI technologies
· Join a supportive, high-trust culture that values creativity, experimentation, and continuous learning
One Team, Not Siloed Offerings
Apps, automation, and AI aren't separate teams here - you'll work across all three as one connected practice, not get boxed into a single lane.
AI in Our DNA, Not Bolted On
Regardless of platform, every specialist here is AI-enabled by design, powered by our own in-house AI workbench that pairs humans and AI from discovery to testing.
Future-Proof Your Career
Tech trends come and go - today's hot platform is tomorrow's afterthought. We multi-skill our people across platforms and AI so your career keeps growing no matter where the market moves.
APAC's Biggest AI-Integrated Practice
Across every platform we work in, our AI-integrated practice is the largest in the region, with work good enough to be cited at Google's own AI event.
Grow With Us Across ASEAN
We're one of Singapore's 100 Fastest Growing Companies, expanding fast across Thailand and Malaysia - plenty of room to grow with us.
At SimplifyNext, we’re committed to building a team of curious, driven, and forward-thinking individuals who care deeply about creating meaningful impact through technology. If you’re excited by the opportunity to grow, collaborate, and shape the future of digital transformation across the region, we’d be happy to hear from you.