- Design, build and maintain scalable backend systems, APIs and third-party integrations.
- Develop and optimise AI-powered applications and agent orchestration systems.
- Take ownership of features from initial design through to deployment, monitoring and ongoing improvement.
- Ensure system reliability, performance, security and uptime across production environments.
- Work with enterprise clients to scope technical requirements, define success criteria and support proof-of-concept projects.
- Translate client needs into practical technical solutions and communicate architectural decisions clearly to non-technical stakeholders.
- Monitor deployed AI agents, evaluate their performance and report on business value and outcomes.
- Mentor junior implementation engineers and contribute to best practices across the engineering team.
- Collaborate with internal teams to feed client insights and technical learnings back into product development.
Minimum Requirements
- At least 5 years’ experience in backend engineering, building and maintaining production systems.
- Strong programming skills in Python or TypeScript (Node.js).
- Proven experience designing APIs and integrating third-party systems.
- Good knowledge of PostgreSQL or similar relational databases, including data modelling and query optimisation.
- Experience with cloud infrastructure, CI/CD pipelines, logging and monitoring.
- Demonstrated experience building and deploying LLM-powered features or applications into production.
- Experience working with queues and event-driven architecture.
- Ability to explain technical concepts and trade-offs to non-technical stakeholders.
- Previous experience mentoring or leading junior engineers.
Advantageous Experience
- Experience with the WhatsApp Business API, voice AI or telephony integrations.
- Practical knowledge of AI agent orchestration, Retrieval-Augmented Generation (RAG) or LLM evaluation.
- Familiarity with Supabase or workflow automation tools such as n8n.
- Experience in insurance, telecommunications or financial services.
- Understanding of POPIA and the responsible handling of personal information within AI systems.
- Exposure to technical scoping, client consultations or pre-sales activities.
Why Consider This Opportunity?
- Work on cutting-edge AI solutions used by enterprise clients.
- Take ownership of meaningful product and architectural decisions.
- Combine hands‑on engineering with client collaboration and problem‑solving.
- Help shape the future of AI-powered business processes.
- Play a key role in developing talent and influencing engineering best practices.
If you’re passionate about backend engineering, enjoy solving complex technical challenges and want to build AI solutions that make a tangible difference, we’d love to hear from you.
Please note that only suitable candidates will be contacted.