Final semester student pursuing a Bachelor's Degree in Data Analytics, Business, Finance, Economic, Supply Chain Management, Mathematics or any related field.
Good analytical, problem-solving, and numerical skills.
Bachelor's Degree in Engineering, Computer Science, Information Technology, or a related field.
3–5 years of experience in solutions engineering, pre-sales, technical sales, or systems integration - robotics, drones/UAV, IoT, or automation experience is a strong plus.
Solid grasp of IT and networking fundamentals: TCP/IP, Wi-Fi/cellular connectivity, VPN, cloud/server basics, and API integration.
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Bachelor's Degree in Engineering, Computer Science, Information Technology, or a related field.
3–5 years of experience in solutions engineering, pre-sales, technical sales, or systems integration - robotics, drones/UAV, IoT, or automation experience is a strong plus.
Solid grasp of IT and networking fundamentals: TCP/IP, Wi-Fi/cellular connectivity, VPN, cloud/server basics, and API integration.
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The Experience: You possess a Bachelor's degree in Accounting, Finance, or a related field, backed by at least eight (8) years of finance experience, including a minimum of three (3) years in a managerial capacity.
The Industry Edge: Experience handling construction accounts and project reporting is highly preferred.
Technical Mastery: You have strong technical knowledge of tax regulations, accounting standards, and financial reporting. You are proficient in AutoCount and Microsoft Excel, and familiar with Google Workspace.
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Engineering: 10+ years professional software engineering. Strong CS fundamentals. Strong TypeScript/JavaScript and Python. Extensive backend engineering. React/Next.js. Production-scale systems, distributed systems, databases, data-intensive applications, production deployment and operations.
AI / Agentic Systems: strong hands-on experience with several of — Claude/Anthropic, LLM APIs, agentic workflows, tool-using agents, function calling, multi-agent systems, agent memory, RAG, planning systems, reflection loops, evaluation frameworks, autonomous workflows, AI experimentation, LLM observability, prompt optimization, model routing.
We are particularly interested in engineers who have built these systems themselves, not engineers who have only read about them. You should be able to show us production AI systems, agents executing real tasks, complex tool-use workflows, autonomous or semi-autonomous systems, AI evaluation systems, self-improving workflows, and large-scale distributed systems.
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Identify and approach potential customers in target sectors such as banking, retail, shopping malls, property development, corporate offices, education, hospitality and government-linked organisations.
Conduct outbound business development activities through telephone calls, email, LinkedIn, networking, referrals, exhibitions and face-to-face appointments.
Arrange and attend customer meetings, presentations, product demonstrations and site visits.
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