Junior Full Stack Engineer – AI
Position Summary & Responsibilities
JUNIOR FULL STACK ENGINEER – AI
The Role
You will join a company building the digital infrastructure for grant funding, helping organizations spend less time navigating funding logic, forms, and administration and more time on the projects and impact that matter.
The platform brings together research across 18,000+ funding programmes, AI-supported analysis and application drafting, expert review, and ongoing grant management. AI handles what can scale, while people bring experience and judgement where it matters.
As a Junior Full Stack Engineer, you will help build the product across the backend, frontend, and AI pipeline at the core of the platform. You will work directly with the CTO, who already has one successful exit, and learn first-hand how modern software is built in a clean, fast, AI-native environment.
This role is designed for someone early in their career who wants real responsibility and a steep learning curve. You will start with close guidance and progressively take on more independent ownership, with a clear path toward a senior engineering role.
Position: Junior Full Stack Engineer – AI
Seeking an early-career Software Engineer with solid programming fundamentals, curiosity across the stack, and a strong desire to learn how production software is built.
The ideal candidate has 1–3 years of experience or is a recent graduate with strong projects, and is hungry to learn, ambitious, driven, curious, and highly coachable.
You should be excited to work closely with the CTO, ask questions, take initiative, and progressively take on more responsibility as you grow.
You don't need to know everything. What matters is having the mindset of: “I don't know this yet, but I want to figure it out.”
We care more about what you've built and how you think than a perfect CV. Personal projects, university projects, internships, and side projects all count.
Responsibilities
Key Role Competencies & Evaluation Highlights
Focuses heavily on cross-cultural agility, remote-first execution discipline, and an obsession with global talent matching efficiency.
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