About the Role
Addcel Engineering is embarking on an AI and digital transformation journey and is looking for an AI Engineer to join our in-house digital team.
This is a hands-on role for someone who enjoys turning business problems into practical AI solutions. You will work directly with our management and business teams to identify opportunities, develop AI applications, integrate them with our existing ERP and business systems, and bring successful solutions from proof-of-concept into actual production use.
You will have the opportunity to build AI solutions across a wide range of business functions, including engineering, project management, tendering, finance, HR, procurement and site operations.
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 bean 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.