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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Bachelor's Degree in Computer Science, Engineering, IT, or related technical field.
Minimum 2 years managing software development and/or system integration projects.
Software developer background — hands-on coding/scripting experience (Python, JavaScript, or similar) and the ability to read, understand, and challenge code and technical designs.
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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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Bachelor's Degree in Computer Science, Engineering, IT, or related technical field.
6+ years managing software development and/or system integration projects, with at least 2 years leading or mentoring other project managers.
Strong software development background — you have built or meaningfully contributed to software, can review technical designs, and can evaluate engineering estimates with credibility.
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