Job description
Location: Cape Town
Working Practices: Hybrid | Mondays and Thursday in office and remaining days remote
Contract Type: Permanent
Working Hours: 10H00 - 18H30 SAST
Role Summary
As a Fullstack GenAI Developer, you will design, develop, and integrate AI-driven features into our web applications. You’ll work across the stack, from data pipelines and backend services to engaging front-end interfaces, leveraging your expertise in both software engineering and machine learning. This is an opportunity to join a dynamic team, contribute to meaningful projects, and grow your skills in a supportive environment.
Key Responsibilities
- Develop, deploy, and maintain full-stack applications with integrated AI/ML capabilities.
- Collaborate with each department (Learning, Production, Sales, and Delivery) to define, build, and iterate on AI-powered features.
- Build robust data pipelines for collecting, preprocessing, and transforming data for machine learning workflows.
- Train, evaluate, and deploy machine learning models using frameworks
- Integrate AI models into production web applications, ensuring scalability, reliability, and performance.
- Design and implement RESTful APIs and microservices architectures.
- Ensure best practices in code quality, testing, and documentation.
- Participate in code reviews and contribute to a culture of continuous improvement.
What does success look like?
- Successful delivery of AI solutions within project timelines and budget constraints
- AI implementation efficiency gains
- Client satisfaction and successful project implementations
- Revenue generation from AI-driven solutions and successful POC conversions
- Effective collaboration with cross-functional teams and stakeholders
- Compliance with security and governance standards (100% compliance target)
- Innovation impact through scalable AI architecture designs
Qualifications and Technical Expertise:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Solid experience with both frontend (e.g., React, Angular, Vue) and backend (e.g., Node.js, Python, Java) technologies.
- Proficiency in at least one major machine learning framework
- Experience with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD pipelines).
- Familiarity with MLOps tools and practices is a plus.
- Strong problem-solving skills and the ability to communicate complex technical concepts to diverse audiences.
- Experience working in agile, cross-functional teams.
- A portfolio or examples of previous AI/ML projects is highly desirable.
About OES
OES is a vibrant and values-led organisation, and we are passionate about enhancing lives through education. We work with university partners, training institutes, and professional bodies worldwide, to develop and enable immersive and engaging learning experiences. We empower our teams to be student-focused, innovative, and embrace change with a growth mindset to ensure we achieve our vision of being the world’s most impactful enabler of education. We encourage our people to grow and develop through teamwork and a diverse range of projects, programs and challenging work. We trust our people to deliver, so when you work with OES, you will join a team who are empowered to impact every day.
Company Culture & Values
We are a people-focused organisation with a culture built around collaboration, connection, and working together toward one common goal. Our vibrant, values-led culture is grounded in four core principles that guide everything we do:
Passion and Perseverance: We love what we do (even though it’s not always easy) and take pride in creating transformative learning experiences. We bring a ‘can-do’ attitude to our work, tackling challenges and inspiring others.
Teamwork: We operate as cross-functional teams globally with trust and respect, celebrating success. We have fun while we work and enjoy collaborating with each other and OES partners.
Agility and Innovation: We are innovative, lateral thinkers who use our skills to do things better for our students. We thrive in ambiguity, embrace change and challenge conventional thinking.
Integrity: We do what’s right, and what we say we will do, every time. We value a culture of respectful feedback and believe that respect trumps harmony.
What We Offer*
- Employee Assistance Program (EAP)
- Medical allowance
- Commute allowance
- Flexible work for genuine career-life fit
- A healthy and supportive company culture
- Generous annual leave
- Paid maternity and paternity benefits
- Study leave
- Professional development and mentoring
- Construct Culture Club events
- Company funded lunch and drinks every 6 weeks
*Policy T&Cs apply for certain benefits
