Production AI Automation Engineer - Multi-Agent Workflows

Ovations Technologies

Johannesburg

Hybrid

ZAR 1,004,000 - 1,339,000

Full time

5 days ago

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Job summary

Ovations Technologies in Johannesburg is seeking an AI Automation Engineer to join a next-generation AI Payments Engineering Team focused on designing and delivering an AI-native Payments Operating System. This role will transform high-effort financial operations into scalable, auditable, and production-ready AI solutions, with automation spanning reconciliations, audit, reporting and analytics.

You will build production-grade AI workflows using Claude/Anthropic APIs, Spring AI, Java and/or

Qualifications

Hands-on experience deploying production-grade AI and agentic systems.
Strong understanding of LLM orchestration and multi-agent systems.
Understanding of AI failure modes in high-stakes environments.
Experience with Spring AI and/or Python-based orchestration.
Experience with n8n or similar workflow engines.
Experience integrating AI APIs, including Anthropic/Claude or similar.
Strong API and systems integration experience.
Ability to deliver across the full lifecycle: Discovery Design Build Deploy Optimise.
Strong architecture and scalable platform design skills.
Experience working in fast-paced and ambiguous environments.
Strong ownership mindset and ability to bridge business, finance and engineering domains.
Excellent communication and stakeholder engagement skills.

Responsibilities

Design, build, test, deploy and maintain production-grade AI automation workflows.
Build and deploy agentic and multi-agent workflows for reconciliations, audit, reporting and financial analytics.
Develop solutions using Claude/Anthropic APIs, Spring AI, Java and/or Python.
Use n8n or equivalent workflow engines and MCP or similar multi-agent coordination layers.
Integrate internal and external systems through APIs, data pipelines and reporting systems.
Identify automation opportunities across Payments operations.
Ensure solutions include appropriate human oversight and approval controls.
Build reusable AI frameworks, templates and workflows.
Develop dashboards and metrics to measure efficiency, cost reduction, risk outcomes and ROI.
Create documentation, standards and training to support adoption.