Solution and proposal development: Translate requirements into solution concepts, PoC scope, work plans, assumptions, risks and proposal content; coordinate inputs from architects, engineers, data specialists and partners.
Collaborate closely with business stakeholders, data scientists, engineers, and IT teams to translate business requirements into technical AI solutions.
To assist in designing and developing machine learning dashboards, tailored for equipment development as in image & video AI analytics and Large Language Model Chatbot.
Advanced Modeling: Apply dimensional modeling (Kimball/Inmon) to ensure data structures reflect actual business processes, making them intuitive for AI models and analysts alike.
Research and evaluate emerging AI technologies, including LLMs, AI agents, predictive analytics, fraud and anomaly detection, text analytics, and customer segmentation.
Integrate enterprise applications through authenticated APIs and MCP where appropriate, selecting deterministic workflows, agents or conventional ML based on the problem.
Reporting directly to the AI Architect, the Staff AI Systems Engineer will serve as a key technical partner in translating AI product requirements and architectural vision into deployable AI solutions.
Build document-processing and information-extraction solutions for structured and unstructured data, supporting enterprise needs across multiple departments.
Build Source Channels — Develop YouTube and LinkedIn as strategic channels for both organic discovery and AI-search visibility. Work with content and video freelancers to create, distribute, and optimise content that compounds over time.
Support the development, testing and improvement of internal business systems, digital solutions and company web platforms while gaining practical experience in real-world software projects.
Provide hands-on technical support and guidance to our suppliers, particularly in areas such as manufacturing of PCBAs, Power Supplies, and other electronic components.