AI-Native Software Engineer - Remote, Mentored Growth

The Global Talent Co.

Gauteng

On-site

ZAR 300,000 - 600,000

Full time

14 days+

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Benefits offered by this job

Fully remote work
€2,000 annual professional development
Mentoring from CTO

Job summary

The Global Talent Co. is seeking an early-career Software Engineer to help build the digital infrastructure for grant funding, spanning backend, frontend, and AI pipeline.

You will work closely with the CTO, gaining hands-on production experience, and gradually taking on more independent ownership with a clear path toward a senior engineering role.

Expect mentorship, a strong emphasis on user-first software, and learning through real projects that matter for non-profit funding initiatives.

Qualifications

  • 1–3 years of professional software engineering experience.
  • Solid fundamentals in TypeScript and/or JavaScript.
  • Experience across frontend and backend stacks.
  • German language skills at B1 level or above (nice to have).
  • First experience with AI tools or LLM APIs (nice to have).

Responsibilities

  • Product Development & Full-Stack Engineering: Ship features end-to-end across backend and UI, across the stack (React, Node/Express, Postgres, AWS).
  • AI Development: Build the platform's AI pipeline from week one, including prompt engineering and evaluations.
  • Production & Debugging: Debug in production and work with Sentry, CloudWatch, and Postgres.
  • Learning & Engineering Growth: Mentoring from the CTO, code reviews, and increasing ownership over time.

Skills

1–3 years of professional experience
TypeScript
JavaScript
React
Node/Express
Postgres
AWS

Job description

The Global Talent Co. is seeking an early-career Software Engineer to help build the digital infrastructure for grant funding, spanning backend, frontend, and AI pipeline.

You will work closely with the CTO, gaining hands-on production experience, and gradually taking on more independent ownership with a clear path toward a senior engineering role.

Expect mentorship, a strong emphasis on user-first software, and learning through real projects that matter for non-profit funding initiatives.

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