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AI Engineer

Swiss Build -
Durban, KwaZulu-Natal

Quick Apply

Job Details

Permanent
1 hour ago

Full Job Description

Introduction

We're building an in-house AI framework using Claude to design and deploy intelligent agents across the business. We need an AI Engineer to build these agents and subagents, work directly with our Executive and Manco teams to identify opportunities, and help shape our future AI infrastructure. You'll need hands-on experience with LLM/agent platforms (Claude, OpenAI, or similar), strong Python skills, and the confidence to present and collaborate with senior leadership. This is a build-from-the-ground-up role for someone who wants to own an emerging AI function.

To design, build, and maintain a network of AI agents and sub-agents (using Claude/Claude Agent SDK) that automate and augment business processes across the organisation. The role owns the technical framework end-to-end - from the underlying infrastructure (including a proposed in-house/dedicated AI learning server) through to agent design, testing, deployment, and ongoing refinement - while working directly with Executive and Manco stakeholders to identify use cases, gather requirements, and roll out solutions department by department.

Duties & Responsibilities

- Design, build, and deploy AI agents and subagents (multi-agent systems) using Claude to automate workflows, decision support, and reporting across departments.

- Build and lead the internal "AI team" or centre of excellence, including scoping future hires as the framework scales.

- Partner with Executive and Manco-level stakeholders to translate business problems into agent/automation requirements, prioritise use cases, and report on outcomes and ROI.

- Evaluate, propose, and help implement the infrastructure strategy for continuous model learning/fine-tuning (e.g. a dedicated in-house server versus cloud-hosted approach), including data pipelines, security, and governance.

- Establish testing, monitoring, and safety/guardrail practices for agents operating in production (accuracy checks, escalation paths, audit trails).

- Maintain documentation of the agent framework, prompts, workflows, and integrations for continuity and knowledge transfer.

- Keep the organisation current with Claude/Anthropic platform updates and broader agentic-AI developments, recommending adoption where it adds value.

- Manage data privacy, security, and compliance considerations relevant to AI systems (POPIA and any sector-specific requirements).

Desired Experience & Qualification

Experience

- 2+ years in software engineering, data engineering, or AI/ML engineering, with demonstrable hands-on experience building with LLMs/agent frameworks (Claude, OpenAI, LangChain, AutoGen, or similar).

- Experience integrating AI into real business workflows, not just proof-of-concept demos.

- Experience working directly with senior stakeholders/executives, translating business needs into technical solutions.

Technical skills

- Strong Python (or equivalent) programming.

- Practical experience with Claude (API, Claude Agent SDK) or comparable LLM platforms, including multi-agent orchestration.

- Understanding of prompt engineering, RAG (retrieval-augmented generation), and agent tool-use/function calling.

- Working knowledge of servers/infrastructure, APIs, and data security - enough to evaluate an in-house AI server proposal, even if a specialist infrastructure engineer supports implementation.

- Familiarity with data governance and responsible-AI practices

Work Location: In person

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