The posting
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.
