Angular AI Engineering Orchestrator
Job Summary
The role focuses on accelerating the development of the Mothusi platform and MGS growth framework using Angular and AI coding tools. You will be responsible for overseeing AI-generated code to ensure architecture, performance, and scalability meet high standards. The position requires a blend of advanced Angular expertise and practical experience in managing AI-assisted development workflows.
Responsibilities
- Accelerate Angular development using AI coding tools
- Review and validate AI-generated code quality
- Design and optimize AI-assisted product workflows
- Develop dashboards and data-heavy Angular components
Required Skills
- Advanced Angular and TypeScript
- Claude Code proficiency
- LLM API and Prompt Engineering
- System architecture and QA for AI products
Job Details
Responsibilities:
- Use Claude Code and other AI development tools to generate, refactor, test, and accelerate Angular features.
- Review AI-generated code before it ships: correctness, architecture, security, maintainability, UX, and performance.
- Build and refine Angular components, services, workflows, dashboards, and data-heavy product screens.
- Help design AI-assisted workflows for Mothusi: chat flows, evidence capture, document review, signal extraction, intervention routing, and reporting.
- Work with AI APIs such as Anthropic, OpenAI, and related model providers.
- Optimise AI workflows for cost, latency, reliability, context quality, structured outputs, and scale.
- Understand where AI should help, where rules/frameworks should decide, and where humans must review.
- Help protect the MGS principle: AI captures signals; the framework governs the score.
Requirements:
- Strong Angular and TypeScript experience.
- Good judgement reviewing AI-generated code.
- Practical experience using Claude Code or similar tools.
- Solid understanding of LLM APIs, prompts, structured outputs, context engineering, tool use, evals, caching, rate limits, and failure modes.
- Ability to design AI workflows that are useful, auditable, and safe.
- Product judgement: can turn messy requirements into clean user flows.
- Comfortable working fast without blindly trusting AI-generated output.
Nice to have:
- Experience with AI products, workflow automation, dashboards, document systems, fintech, govtech, edtech, agritech, or SME platforms.
- Experience with RAG, agentic workflows, model routing, eval harnesses, observability, or cost optimisation.
- Experience reviewing PRs or leading quality control in fast-moving product teams.