AI Engineer (Prompt Engineering & Evaluation) Permanent UK or Greece

We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners. As a member of our team, you will work alongside world-class talent in an environment that not only fosters innovation but also personal growth. You will be responsible for shaping how our AI models understand and interpret complex creative content. Your work will bridge the gap between raw AI capabilities and the delivery of accurate, reliable, and valuable insights for our FTSE 100 clients. You will be at the forefront of applied AI, ensuring our products are not just powerful, but also precise and trustworthy.

Your Responsibilities

• Collaboration: Work closely with product managers, data scientists, and architects to translate business needs into technical requirements for AI evaluation and application.
• Prompt Engineering & LLM Application: Design, develop, and iteratively refine sophisticated prompts for Large Language Models (LLMs).
• AI Output Evaluation & Governance: Establish and execute comprehensive evaluation frameworks to measure the accuracy, reliability, and effectiveness of AI outputs.
• Dataset Curation: Take ownership of gathering, curating, and maintaining high-quality evaluation datasets.
• Applied AI Research & Integration: Actively explore, prototype, and conceptualize innovative ways to combine computer vision technologies with LLMs to unlock deeper, more valuable insights from creative assets.
• Documentation & Knowledge Sharing: Document the AI evaluation process and results to track product quality and maintain user-facing product and API documentation.

Minimum Qualifications / Skills

• High proficiency in Python.
• Demonstrable, hands-on experience in prompt engineering for major LLMs (e.g., Gemini, GPT-4).
• Proven experience in designing and implementing evaluation methodologies and quality frameworks for AI/ML model outputs.
• Familiarity with modern AI/LLM frameworks (e.g., LangChain, Google GenAI, etc.).
• Experience working with both structured and unstructured data, particularly in a cloud environment (GCP, AWS, or Azure).
• Strong analytical and problem-solving skills, with a meticulous eye for detail.

Preferred Qualifications / Skills

• Experience with Computer Vision APIs or models.
• Experience building and deploying scalable API services (e.g., FastAPI, Flask).
• Experience working in a product-driven environment, contributing to a robust MLOps cycle.
• Experience implementing and optimizing data transformations and ETL/ELT processes.

We Offer

• Benefits - enhanced pension, life assurance, income protection, private healthcare;
• Remote working - cafe, bedroom, beach - wherever works;
• Truly flexible working hours - school pick up, volunteering, gym;
• Annual bonus - when Satalia does well, we all do well;
• Impactful projects - focus on bringing meaningful social and environmental change;
• People oriented culture - wellbeing is a priority, as is being a nice person;
• Transparent and open culture - you will be heard;
• Development - focus on bringing the best out of each other;

Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you. We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy.