Software Engineer

aerobotics

Cape Town

On-site

ZAR 700,000 - 1,000,000

Full time

14 days+

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Job summary

Jobtailor in Cape Town is building production software for AgTech, delivering AI-enhanced solutions to farmers and decision-makers. You will work across the stack with Python/Django REST Framework and React/TypeScript, applying ML tech including Hugging Face and Vision Transformers.

Join a fast-moving team in person three days a week to ship impactful software for agricultural operations, with AWS infrastructure and modern tooling powering the platform.

Qualifications

Bachelor's degree in Mathematics, Physics, Engineering, CS or related field required.
Proven experience building production software systems.
Strong problem solving and independent initiative in fast-paced, ambiguous environments.
Proficiency with Python, Django REST Framework, React/TypeScript stack.
Experience with ML tools like Hugging Face and Vision Transformers is a plus.

Responsibilities

Build or enhance products in an iterative, fast-moving environment
Bring state-of-the-art AI models to farming operations around the world
Collaborate closely with the product team to understand users and prioritize features
Deliver technology solving difficult agricultural problems
Develop software influencing operational and agricultural decisions about crops
Work with growers, packhouse managers, fruit exporters, and business decision makers
Develop and maintain infrastructure on AWS using modern tooling

Skills

Python Development

Django REST Framework

React Application Development

Machine Learning Technologies

AWS Infrastructure Management

Education

Bachelor's degree in quantitative field

Tools

AWS

Hugging Face

Vision Transformers

React Native

TypeScript

Job description

Build or enhance products in an iterative, fast-moving environment
Bring state-of-the-art AI models to farming operations around the world
Collaborate closely with the product team to understand users and prioritize desired features
Deliver technology solving difficult agricultural problems
Develop software influencing operational and agricultural decisions about physical crops
Work with growers, packhouse managers, fruit exporters, and business decision makers
Use Python with Django REST Framework for backend development
Use React, TypeScript, and React Native for frontend development
Work with modern machine learning technologies including Hugging Face and Vision Transformers
Develop and maintain infrastructure on AWS using modern tooling

Requirements

Demonstrated experience solving complex technical problems at tech and product-driven companies
Practical experience building production software systems
Bachelor's degree in a quantitative field (Mathematics, Physics, Engineering, Computer Science, or related discipline)
Highly proactive and critical approach to problem solving
Ability to work independently and take initiative from idea to execution
Ability to move fast in loosely defined environments with competing priorities or deadlines
Ability to balance technical exploration with practical delivery
Proficiency in the stated technologies
Some experience with relational databases
Ambition and strong motivation to make an impact in AgTech
Ability to work in-person with the team 3 days a week
Permanent working rights in South Africa; visa sponsorship unavailable

Core Competencies

Proficient in developing and enhancing software solutions using Python, Django REST Framework, React, TypeScript, and React Native, with a strong focus on applying machine learning technologies in agricultural contexts. Demonstrates the ability to solve complex technical problems and deliver impactful solutions in fast-paced, iterative environments.

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