Lead AI Engineer
Johannesburg - South Africa
Job Summary
A leading South African packaging manufacturer that specializes in producing corrugated packaging and Single Face Kraft (SFK) products is seeking a Lead AI Engineer who will be the technical owner of an internally built agentic system that currently runs the companys planning cycle end-to-end.
Responsibilities:
Production Governance: Own existing agentic MRP/planning systems; establish source control managed environments clear documentation and formal deployment pipelines.
Risk and Fallback Management: Eliminate single points of failure (technical and operational). Maintain tested rollbacks kill-switches and documented manual fallback plans.
Bounded Autonomy and Safety: Program hard limits on agent scope/financial values enforce human-in-the-loop approval gates for irreversible actions and ensure loud failures over silent errors.
Eval Harnesses: Build and run historical evaluation test suites against all prompt code or model updates prior to deployment.
Staged Releases: Enforce a strict rollout pathway (Shadow Running $rightarrow$ Pilot $rightarrow$ Canary $rightarrow$ Earned Autonomy).
Observability and Auditing: Implement complete telemetry (inputs reasoning logs actions) and queryable audit trails that satisfy financial and governance standards.
Process Discovery: Engage directly with factory floor and business operations to understand actual workflows before designing automation.
End-to-End Delivery: Scope architect and build scalable systems across planning logistics procurement and financerecommending go/no-go based on pilot metrics.
Commercial Controls: Ensure financial actions adhere to CFO/external audit requirements (segregation of duties approval limits).
Tooling and AI-Assisted Dev: Leverage modern AI dev tools (e.g. Cursor Claude Code) as primary workflows with rigorous code review and testing standards.
Vendor and Cost Management: Direct model selection transaction cost optimization data residency and vendor lock-in prevention.
Enablement and Reporting: Provide runbooks and training for business users; report directly to executive leadership on progress risk and technical debt.
Minimum Requirements:
Production Release Discipline: Proven track record of owning commercial software running in live production (including staging canary rollouts incident handling and rollbacks). Prototypes or internal tools only will not be shortlisted.
End-to-End System Shipping: Demonstrable history of delivering full-lifecycle software solutions including error handling monitoring and handover.
Engineering Background: Minimum 8 years in software engineering with 3 years in a Senior Lead or Principal role. Strong software engineering fundamentals take precedence over pure ML research.
AI-Assisted Workflows: High fluency with AI-assisted development tools (Cursor Claude Code or equivalent) assessed via live practical evaluation.
- Desirable Experience
Practical experience building with LLMs and agentic workflows (prompt engineering tool use evaluation frameworks handling non-determinism).
Familiarity with ERP MRP or manufacturing supply chain environments.
Willingness to master corrugated packaging and manufacturing process nuances.
Benefits:
Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move apply today by emailing your CV to
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