Own end-to-end delivery for assigned ICT infrastructure projects, from initiation through testing, commissioning and handover, ensuring scope and timelines are met.
Create and maintain clear project execution plans, schedules, budgets and resource lists to keep multiple projects on track.
Track project progress, milestones and costs, raise and manage change control, and close out issues to maintain delivery quality.
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Plan, coordinate and execute video shoots for internal and external clients, including pre-production tasks (scripting, storyboarding, location scouting, scheduling, equipment preparation).
Operate cameras and videography equipment; set up and manage lighting and audio; prepare, transport and maintain production equipment; travel for shoots and events when required.
Produce various video content types (promotional videos, interviews, testimonials, news shorts, piece-to-camera, product videos, POVs, aerial/drone footage, TikTok/Reels, Instagram Stories, short-form content).
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Create and maintain project schedules, track milestones, and update stakeholders on progress. Use simple trackers and shared tools to keep timelines visible.
Coordinate procurement and materials deliveries with vendors to match installation dates. Verify quantities and quality before site arrival.
Prepare project documentation including work orders, site drawings, and completion certificates. Keep records organised for handover and warranty claims.
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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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