Currently pursuing or recently completed a Diploma or Degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence, or a related field.
Basic knowledge of web development, mobile app development, or software engineering principles.
Exposure to AI, machine learning, automation, or AI-assisted coding tools is an advantage.
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Working TCP/IP fundamentals — can explain what a subnet mask, gateway, DHCP scope, DNS resolution and a default route actually do, and troubleshoot with ping, tracert/traceroute, ipconfig/ip a, and nslookup/dig.
Hands-on configuration of at least a few of: router/firewall, managed switch, VLANs, wireless access points, VPN.
Comfort at a command line — Windows and at least basic Linux, and SSH into a device.
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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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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 or higher in Computer Science or a related technical discipline, or equivalent practical experience.
Candidates who are still completing their degree may also be considered where their availability and demonstrated experience support full-time contribution.
Demonstrated software engineering experience in one or more programming languages, including JavaScript or TypeScript, Python, Java, C, or C++.
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Software Development
Agile Methodologies
Java Development
Python Programming
Database Management
Cloud Computing
Problem Solving
Team Collaboration
Communication Skills
Version Control
API Development
Financial Software