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AI Prompt Engineer
Job in
Windsor, Berkshire, SL4, England, UK
Listed on 2026-10-18
Listing for:
Moonfire
Full Time
position Listed on 2026-10-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software), AI Reliability/ Performance Engineer, AI QA / Validation Engineer
Job Description & How to Apply Below
We are Hiring AI Prompt Engineer with hands‑on specialist responsible for designing, testing, deploying, and optimising prompts and agentic workflows for multi‑channel customer service AI solutions. The role blends conversational design, LLM prompt engineering, evaluation discipline, and production‑grade governance
Your responsibilities:- Design and iterate prompts for IVR, voice bots, chatbots, and messaging channels.
- Build agentic AI workflows using tool calling, orchestration, and multi‑step reasoning.
- Define and maintain prompt evaluation frameworks, regression test suites, and quality metrics.
- Implement guardrails for safety, compliance, PII handling, and hallucination reduction.
- Integrate AI prompts with CRM, knowledge bases, billing, and contact‑centre platforms.
- Partner with CX, Product, Engineering, and SMEs to translate journeys into AI behaviour.
- Monitor production performance using analytics and continuously optimise outcomes.
- Manage prompt versioning, approvals, and release processes across environments.
- Support UAT, go‑live, and early‑life support phases.
- Contribute reusable prompt patterns, playbooks, and accelerators.
Essential skills/knowledge/experience:
- Strong hands‑on experience in LLM prompt engineering for production systems.
- Experience with conversational AI for customer service (voice & chat).
- Knowledge of agentic AI design patterns and orchestration.
- Experience with RAG, grounding techniques, and prompt evaluation.
- Understanding of Responsible AI, security, and compliance controls.
- Familiarity with Git, CI/CD concepts, and release governance.
- Strong stakeholder communication skills.
- Voice AI / IVA / IVR modernisation experience.
- Experience in regulated industries (utilities, BFSI, public sector).
- Exposure to contact‑centre metrics such as containment, deflection, CSAT.
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