Key Responsibilities
Work closely with management and business users to identify high-value AI use cases and translate business requirements into practical AI solutions.
Design, develop and deploy end-to-end AI applications using
LLMs, Retrieval-Augmented Generation (RAG), AI agents and machine learning
where appropriate.
Build AI solutions that integrate with our
ERP system, databases, APIs and other enterprise applications
.
Develop intelligent document-processing solutions for business and engineering documents such as drawings, BOQs, quotations, invoices, timesheets, forms and project documentation.
Build enterprise knowledge-search and RAG applications using internal company data and documents.
Develop AI agents and automated workflows that can retrieve information, analyse data and support business processes.
Build and manage data pipelines required for AI applications.
Lead AI proofs-of-concept and pilots and convert successful solutions into reliable production applications.
Implement proper AI evaluation, monitoring, version control, security, access control and cost management.
Ensure AI solutions comply with data privacy, cybersecurity and responsible AI requirements.
Evaluate different AI models, platforms and technologies and recommend appropriate
build-vs-buy
approaches.
Establish internal AI development standards, documentation and best practices.
Train and support employees in adopting newly developed AI solutions.
Track the business impact of AI projects through measurable outcomes such as productivity improvement, time savings, cost reduction, accuracy and user adoption.
Requirements
Bachelor's degree in
Computer Science, Artificial Intelligence, Data Science, Software Engineering, Engineering
or a related discipline, or equivalent practical experience.
Preferably
3–5 years of relevant experience
in software engineering, AI/ML engineering, data engineering or solutions development.
Strong programming skills in
Python
.
Hands-on experience developing applications using
LLM platforms and APIs
, such as OpenAI, Claude or open-source models.
Practical experience with
RAG, embeddings, vector databases and AI agents
.
Experience with
REST APIs, system integration, databases and data pipelines
.
Good understanding of machine-learning and software-engineering fundamentals.
Experience deploying applications on cloud platforms such as
Microsoft Azure, AWS or GCP
.
Familiarity with
Git, CI/CD, monitoring, evaluation and MLOps/LLMOps
.
Ability to take an AI solution from
idea → prototype → pilot → production deployment
.
Strong problem-solving and analytical skills.
Able to communicate effectively with both technical and non-technical stakeholders.
Good to Have
Experience in any of the following would be an advantage:
Microsoft Azure / Azure AI
Microsoft Power Platform / Power Automate / Power BI
OCR and intelligent document processing
ERP or enterprise-system integration
SQL and enterprise databases
Agentic AI and workflow automation
AI governance and cybersecurity
Construction, engineering, manufacturing or other project-based industries
Industry experience is an advantage but not mandatory.
We value strong technical capability, problem-solving skills and the ability to understand business processes.
What You Will Get to Work On
This is not purely a research or model-training position. You will have the opportunity to build
real AI applications that are used in day-to-day business operations
.
You will work directly with business users, management and external technology partners and play an important role in developing Addcel's long-term
in-house AI and digital capabilities
.
We are looking for someone who is curious, hands-on and excited about using AI to solve real business and engineering problems.
At Addcel, it's not just about being the leader in mechanical engineering solutions since 2010; it's about the people who make it possible.
With a family of over 100 clients in Singapore, spanning exciting industries like Data Centers, Semi-con, Pharma and Petro-chem, we're all about delivering meaningful value.
Join our close-knit team where your skills and passion are celebrated. From designing innovative solutions to executing projects seamlessly, together, we're shaping a future where every voice matters, and every contribution counts.