AI ENGINEER

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.