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We are looking for a hands-on AI Engineer to help improve and scale an internal platform that enables engineering teams to ship faster and safer using AI-powered workflows. This role is focused on practical AI engineering, not AI research and not pure platform architecture. You will work on agentic workflows, prompt engineering, evaluation pipelines, GitHub-based automation, and developer tooling that helps teams adopt AI agents consistently across repositories. You will join an existing initiative that already has working foundations in place. The immediate need is to strengthen, stabilise, and mature the current implementation through hands-on engineering, especially in agent development, testing, evaluation, and workflow reliability.
Job Responsibility
Build and improve AI workflows across repositories
Design agent workflows for docs, testing, code quality, reviews, and security
Create effective prompts and multi-step interactions
Improve reliability and usability of agents
Use AI coding tools (e.g., Copilot, Cursor) to accelerate delivery
Design evaluation pipelines for prompts and agents