Senior Product Engineer

• 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.

Please note that only suitable candidates will be contacted.