AI Engineer (Graduate)

SimplifyNext; Singapore; On-site; SGD 50,000 - 70,000; Full time

Benefits offered by this job

Mentorship programmes

Hands-on experience from day one

Supportive culture encouraging creativity

Job summary

A fast-growing consulting and technology firm in Singapore is seeking an AI Engineer to build real-world AI solutions for clients across ASEAN. This entry-level role provides the chance to work closely with consultants and domain experts, utilizing modern AI frameworks. Fresh graduates are encouraged to apply to gain hands-on experience in a supportive environment focused on innovation and quality work.

Qualifications

• 0–3 years of AI development experience (fresh graduates welcome).
• Strong foundation in Python, algorithms and data structures.
• Understanding of ML fundamentals: supervised/unsupervised learning, model evaluation.

Responsibilities

• Build and train machine learning models using Python and modern ML frameworks.
• Experiment with generative AI technologies.
• Support fine-tuning, optimisation and evaluation of AI models.

Skills

Python

Machine Learning frameworks

Data Analysis

Problem-solving

Analytical Thinking

Education

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

Tools

TensorFlow

PyTorch

Scikit-learn

Git

REST APIs

Job description

Company Overview

SimplifyNext is a fast‑growing consulting and technology firm founded by veterans from top‑tier consulting companies, focused on AI, Automation, and Application Platforms. Our mission is to drive business transformation across industries by combining strategic insight with deep technical expertise.

We work with leading enterprises and public sector organisations across Singapore and the Asia Pacific region to design, build and operate scalable digital and automation platforms, delivering impactful transformations for global and local organisations alike.

Built as an agile practice, we mentor and grow the next generation of consulting and technology experts. We invest heavily in structured training and enablement programmes that help our teams expand across Intelligent Automation, Test Automation, AI‑powered workflows and Agentic AI solutions.

Recognised as one of the fastest‑growing companies in Singapore and the Asia Pacific, SimplifyNext is positioned as one of the most credible and ambitious digital transformation teams in the region.

Role Overview

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.

Responsibilities

• 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.
• 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.
• 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 welcome).
• 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.

At SimplifyNext, we’re committed to building a team of curious, driven, 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.