Senior Full-Stack Engineer; AI Products Onsite

ENVIRONMENT:

A fast-growing AI Product and Insur Tech business is building next-generation AI agents that automate real customer interactions, decision support, and operational workflows within a highly regulated insurance environment. They are looking for a Senior Full-Stack Engineer to help transform powerful AI systems into real, production-ready products that customers and internal teams rely on every day. This is a highly hands-on, product-focused engineering role where you will own the full product stack, from frontend experiences and backend APIs to deployment pipelines, observability, and production feedback loops.

The ideal candidate will have 5+ years’ full-stack development experience, proven experience shipping user-facing AI or LLM-powered products into production, and a strong understanding of building secure, reliable systems in environments where AI outputs are not always predictable.

DUTIES:

• Design, build, and maintain production-grade AI-powered products used by customers and internal teams.
• Develop modern frontend interfaces for AI-driven workflows, conversational experiences, and human-in-the-loop review systems.
• Build scalable backend services, APIs, integrations, and orchestration layers connecting AI systems to core business platforms.
• Design and implement REST and/or Graph
  
  QL APIs with strong authentication, validation, and access controls.
• Build systems that gracefully handle streaming responses, variable latency, partial outputs, and non-deterministic AI behaviour.
• Develop secure integration layers between AI products and enterprise platforms such as CRM, operational, and policy systems.
• Implement observability, monitoring, logging, and feedback loops to continuously improve AI performance in production.
• Own the full software lifecycle including architecture, development, testing, CI/CD, deployment, and production support.
• Collaborate closely with Product, AI Engineering, Business, and Leadership teams to shape product direction.
• Ensure all solutions meet security, compliance, and data governance requirements.

REQUIREMENTS:

Software Engineering

• Minimum 5+ years’ experience in Full-Stack Software Engineering roles.
• Proven experience building and shipping production-grade customer-facing software products.
• Strong understanding of software architecture, scalability, reliability, and performance optimisation.

Frontend Development

• Strong experience with React or similar modern frontend frameworks.
• Experience building responsive, interactive, user-focused applications.
• Experience handling asynchronous workflows, streaming responses, and dynamic UI states.

Backend Development

• Strong backend/API development experience using Node.js, Python, or similar technologies.
• Experience designing and building REST and/or Graph
  
  QL APIs at scale.
• Strong understanding of authentication, authorization, validation, and API security.

AI Product Experience

• Demonstrated experience shipping AI-powered, LLM-driven, or intelligent automation products into production.
• Experience working with non-deterministic systems, variable outputs, latency, and exception handling.
• Experience designing human-in-the-loop workflows, escalation logic, and operational guardrails.

Dev Ops & Deployment

• Experience with CI/CD pipelines, cloud deployment, production monitoring, and release management.
• Comfortable owning solutions from design through deployment and production support.

Education

• Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, or related field OR equivalent practical experience delivering production AI products.

Advantageous:

• Experience with Azure, cloud-native AI services, or LLM infrastructure.
• Experience with LLM observability and monitoring tools.
• Experience building conversational interfaces, chat systems, or agent workflows.
• Experience integrating with CRM, ERP, or enterprise operational systems.
• Exposure to secure software development, GDPR, POPIA, or regulated data environments.
• Experience working within Insurance, Financial Services, Healthcare, or other regulated industries.

ATTRIBUTES:

• Product-minded engineer who cares deeply about user experience.
• Highly accountable with strong ownership mentality.
• Comfortable working in fast-moving, high-ambiguity environments.
• Strong problem-solving and systems thinking ability.
• Security-conscious and detail-oriented.
• Passionate about building products that perform in the real world, not just in demos.