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Software Engineer, AI Engineer (Applied​/Software), Backend Developer

Job in Cape Town, 7561, South Africa
Listing for: Sanlam Limited
Full Time position
Listed on 2026-08-31
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software, DevOps
Job Description & How to Apply Below

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Sanlam was established as a life insurance company in South Africa but has since transformed into a diversified financial services group that operates across the African continent, India, Malaysia and selected developed markets, with listings on the Johannesburg, A2X and Namibian Securities Stock exchanges. In 2018 the Group celebrated its centenary as well as 20 years since demutualisation and listing in South Africa and Namibia.

Sanlam is one of the largest internationally active insurance groups in the world with a presence in 27 countries and has the biggest non-banking financial services footprint on the African continent.

The Group's four business clusters (Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz and Santam) house the Group's business operations. The Group Office provides strategic direction and support to the four clusters, assisting them in realising their strategies and meeting their business objectives. The Group Office is responsible for governance and for the Group's centralised functions, which include:
Group Tecnhnology, Finance, Actuarial, Risk and Balance Sheet Management, Strategy, Human Capital, Brand, Marketing and Corporate Affairs. The Group Office ensures cohesive management across the organisation.

Position Overview

A Software Engineer who takes ownership of features end-to-end and is comfortable solving problems anywhere in the stack — including the parts where LLMs, agents and tool-use are the "code". You typically have 5 years or more of software engineering experience and have shipped production systems on the cloud. You have used AI coding agents seriously in your own work and want to build the platform that lets a regulated enterprise use them safely.

You may lead a feature implementation with guidance from the Principal Engineer and Tech Lead, and you work closely with the Product Lead to understand the "why" behind what we build.
Sanlam Fintech is is a small business unit in Sanlam and we are setting up a small, senior AI Engineering pod with one mandate: make AI engineering agents a safe, governed, everyday part of how Sanlam builds software. We are a net producer of technology, not a consumer — and regulated financial services cannot simply ship source code, architectural context and customer data to a vendor's cloud.

The pod builds the in-tenant agentic engineering stack that makes the productivity gain available inside our own boundary.

The pod's five focus areas:

1. Context & memory — giving models the right organisational and engineering context at the right time, with team-wide RBAC in place.

2. Agentic orchestration — multi-agent workflows that take features from story to production across our services.

3. Production incident resolution — agents that triage, trace and propose fixes for live incidents.

4. Developer enablement — reusable AI skills and team context that raise the floor for every engineer.

5. Agents for engineering teams — assisting with agile workflows, backlogs and delivery visibility

What will you do?
  • Take ownership of new capabilities across the pod's five focus areas and deliver them from concept to production inside Sanlam's AWS tenant.
  • Build and operate agentic workflows: multi-agent orchestration, tool integrations (MCP), context/memory services, and the guardrails (RBAC, audit logging, encryption) that make them safe.
  • Integrate agents into real engineering flows — BFF/microservice feature delivery, local runners, acceptance tests, incident triage against Datadog/Cloud Watch and dead-letter queues.
  • Author reusable AI skills, prompts and team-context packages that other Sanlam engineers can pick up on day one.
  • Measure what you ship: evals, latency, token cost-per-feature, and reliability of agent runs; feed results into the Codeship cockpit metrics.
  • Focus on operational and code excellence during code reviews and feature development; improve the team's development, testing and operational practices.
  • Participate in on-call for the platform and handle incidents effectively — using the very tooling you build.
  • Identify and pay down technical debt within your scope; grow…
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