Job Description
<h3>📋 Description</h3> • About ScultureAI
• ScultureAI is a B2B SaaS startup developing groundbreaking coaching solutions for shaping organisational culture using large-language models and other cutting-edge Al technologies.
• An organisation’s culture is a key driver of employee wellbeing and company success, and we are driven by the mission to improve the lives and performance of employees and companies all over the world.
• ScultureAI been named one of Europe’s hottest startups at The Europas and one of the leading UK AI startups by Generative Group.
• Having raised over £1.5m to date, we are currently onboarding our first major enterprise clients and this is just the beginning!
• Our team operates in a dynamic, supportive atmosphere where everyone's voice is heard, and every good idea is valued.
• We want to build a workplace community where passionate individuals can thrive, grow, and contribute to groundbreaking Al coaching solutions that transform organisational culture and have a positive impact on the world.
• Join us on this exciting journey and shape the future of coaching and workplace culture.
• About the role
• We are looking for a talented Senior Prompt Engineer to help us push the boundaries of what’s possible with LLMs.
• This role has two core aspects.
• First, you’ll design, build and optimise complex multi-agent prompt pipelines that directly power our product and customer outcomes.
• Second, you'll build and scale rigorous evaluation systems to evaluate these constantly changing pipelines – both automated and human-in-the-loop – to continuously assess and improve the quality, performance, reliability, and cost-efficiency of our prompt architectures.
• You’ll need to be deeply immersed in the latest techniques across prompting, LLM behaviour, multi-agent orchestration and agent design, and be excited to apply that knowledge in a fast-paced, high-impact startup environment. <h3>🎯 Requirements</h3> • Architect, design, and implement robust multi-agent pipelines leveraging a diverse range of LLMs
• Systematically decompose complex problems into structured, scalable prompt-driven solutions
• Use advanced prompt engineering techniques to drive desired results
• Build and maintain a library of atomic evaluation prompts to measure coaching output quality across several dimensions
• Develop and automate evaluation systems that can benchmark, identify regressions, and measure the stability of new prompts, models, and model versions
• Use statistical techniques and domain knowledge to define quality thresholds, analyse variance, and surface outliers or black swan failures
• Participate in designing and running human-in-the-loop processes to validate and improve evaluator prompts
• Contribute to internal tooling for prompt observability, output sampling, evaluator scoring, and user feedback
• Optimise the trade-offs between latency, quality and operational cost
• Implement safety and security best practices
• Build and manage modular, version-controlled prompt libraries with support for templating and reuse
• Collaborating with full-stack engineers to design and implement complex automated systems to evaluate the quality and consistency of outputs across pipeline stages and agents.
• Collaborating with other technical colleagues to develop tools and systems for prompt observability, such as usage tracking, output variance monitoring, and feedback loop integration. <h3>🏖️ Benefits</h3> • Competitive salary and equity options.
• Flexible working hours and a remote-first environment.
• Opportunity to work on groundbreaking AI technology.
• Learning and development budget to support your career growth.
• A supportive, inclusive team culture where your contributions make a real impact.