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About the Role:
- You will be the primary builder in the AI Centre of Excellence, turning prioritized workflows into production-grade AI systems.
- This is an applied engineering role with high leverage, building reusable components and patterns for internal and partner teams.
What You'll Do:
- Build end-to-end AI and agentic workflows, including orchestration, retrieval, evaluation, and production engineering.
- Design and maintain the shared component library with SDKs, templates, and documentation.
- Own infrastructure as code, CI/CD, observability, and operational support for live workflows.
What We're Looking For:
- 6+ years of professional software engineering, including 2+ years building production LLM systems.
- Excellent Python and working competence in another language, with strong AWS/GCP experience.
- Proven retrieval and agent orchestration experience, plus evaluation rigor and cost/latency awareness.
What Success Looks Like:
- In 3 months: first workflow in production with evaluation harness and baseline engineering standards.
- In 6 months: reusable library in use, multiple workflows live with instrumented quality and cost.
- In 12 months: lower build costs per workflow, operable production estate, and partner code meeting your standards.
QAD
QAD | Redzone builds an intelligent manufacturing and supply chain platform that connects people, processes, and data into a single System of Action. It fosters a collaborative culture of smart, hard-working people who support one another and prioritize diversity, equity, and inclusion.