SimplifyNext Logo

SimplifyNext

AI Engineer (Graduate)

Reposted 4 Hours Ago
In-Office
Singapore, SGP
Entry level
In-Office
Singapore, SGP
Entry level
As an AI Engineer, you will build and deploy AI solutions, work with data preparation, integrate models into applications, and collaborate with teams to solve business problems using AI.
The summary above was generated by AI

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. 

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.

We partner with leading global technology providers, including Microsoft, AWS, ServiceNow, UiPath, Automation Anywhere, SS&C Blue Prism, OutSystems, Workato, ABBYY, etc. Our customers span leading global and regional organizations across industries such as Banking & Financial Services, Healthcare, Education, Manufacturing, Real Estate, Logistics, Transportation, Technology, Public Sector, and Defense.

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


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.


HQ

SimplifyNext Singapore, Singapore, SGP Office

Singapore, Singapore

Similar Jobs

An Hour Ago
In-Office
Singapore, SGP
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead and manage a team of Mid-Market account executives for the Canada market: develop and implement strategic sales plans, mentor and coach sellers, recruit and onboard AEs, set and monitor performance metrics, collaborate with partners and internal specialists, analyze sales data and market trends, and provide product feedback to improve customer experience and drive revenue growth.
Top Skills: AtlassianCloud
4 Hours Ago
In-Office
Singapore, SGP
Expert/Leader
Expert/Leader
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Architect and lead the Data, Knowledge, and Skills layers enabling analytics, AI agents, and real-time decision systems. Design governed Databricks-based data models, semantic layers/metric stores, agent interfaces, governance-as-code, and regional data localization to ensure compliance, quality, and consistent metrics across the business.
Top Skills: DatabricksDelta LakeGovernance-As-CodeKafkaMcpRagSparkUnity Catalog
4 Hours Ago
In-Office
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Design, build, and operate highly reliable, scalable, event-driven systems for card issuing, transactions, and settlement. Lead architecture, drive platform improvements, ensure operational readiness, mentor senior engineers, and influence cross-team technical direction.
Top Skills: AWSDockerGCPGoGrafanaJavaJvmKafkaKotlinKubernetesPrometheusPythonRestful ApisSplunkSpringSpring Boot

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account