Prompting Engineer

Are you passionate about shaping the future of Artificial Intelligence? We are seeking a skilled AI Prompt Engineer to join our dynamic Commercial Digital team. In this role, you will take ownership of the behavior of Large Language Model (LLM)-driven agents in production.

Working within an established framework, you will develop and tune prompts, design evaluations for individual AI agents, and implement self-optimizing feedback loops. Your mission is to ensure our customer-facing AI outputs remain highly accurate, on-brand, legally compliant, and cost-efficient.

Key Responsibilities Develop & Tune Prompts:
Craft and maintain high-performing prompt architectures—including system prompts, tool instructions, guardrails, and output schemas—for production AI agents.

Evaluate & Test:
Build and execute evaluation suites and regression tests for individual agent behavior. Define quality metrics and acceptance thresholds in collaboration with business owners.

Optimize Performance:
Design and operate A/B testing for prompt and model variants, utilizing feedback loops that learn from human review outcomes to focus on single-agent optimization.

Drive Cost Efficiency:
Support LLM optimization efforts, focusing on model selection, context-window management, structured outputs, and token efficiency.

Guard Quality & Tone:
Maintain tone-of-voice and multi-language consistency for customer-facing communications, utilizing professional British English B2B standards as the baseline.

Risk Mitigation:
Stress-test guardrails against adversarial inputs, edge cases, and hallucination risks within defined safety standards before prompt release.

Document & Collaborate:
Document prompt patterns, test coverage, and evaluation results, enabling business users and reviewers to provide structured feedback.

Reporting Line & Autonomy Reporting:
You will report directly to the Head of Commercial Digital, receiving day-to-day technical guidance and mentorship from our Level A Senior Prompt Engineers.

Autonomy:
You will work within defined organizational standards. Production prompt changes will be peer-reviewed before deployment to ensure quality assurance.

Requirements & Qualifications

Experience:

1+ year of practical, hands-on experience working with LLM applications (including prompting, Retrieval-Augmented Generation (RAG), and structured outputs).Track Record:
Proven exposure to systematic testing, data validation, or Quality Assurance (QA) of AI/ML systems.

Technical

Skills:

Strong prompt-writing craft, disciplined experimentation habits, and basic Python or data-handling skills to run evaluation pipelines.

Language

Skills:

Exceptional written English with a strong sensitivity to tone, style, and nuance in professional B2B communication.

Professional Attributes:
Clear documentation skills, attention to detail, and a structured approach to processing user feedback.

Preferred Skill:
Previous experience with the Microsoft AI stack (Azure OpenAI, Azure AI Foundry, or Copilot Studio) is a significant advantage.

Our Values & Expectations We expect our team members to drive growth, embrace innovation, and inspire others. You will succeed in this engineering role if you align with our core behaviors:

Inspire Your People:
Simplify complexity, act with the long-term vision in mind, and learn from setbacks with high integrity.

Strengthen Your Team:
Set the bar high for AI quality, collaborate across departments, and foster a growth mindset.

Grow Your Business:
Put customers at the heart of your prompt designs and proactively look for ways to improve automated processes.

Our Core Values:

Own It:
We believe in teamwork, keeping promises, and building our brands together.

Aim High:
We are bold, positive, and strive to perform at our  True:
We act…