2 of 2 Contract Tech for Good Jobs in the UK

Prompt Engineer (AI & Data) – Junior to ExperiencedRemote work - United Kingdom Competitive day rate AI | LLMs | RAG | Healthcare Tech | Data Engineering Tech for Good | Real-World Impact | Ethical AI We're Hiring: Full Stack Developer for Generative AI ApplicationsAre you a seasoned developer excited about the future of AI? We're looking for a Full … Stack Developer with a strong backend foundation and a passion for building innovative applications powered by Generative AI .Whether you're working with startups launching their first AI product or helping larger companies integrate LLMs into existing platforms, you'll be at the forefront of transforming ideas into intelligent, scalable solutions.?? What You’ll Be Doing Designing, testing, and … refining prompts for LLMs (OpenAI, Claude, etc.) Building prompt libraries and evaluation frameworks Structuring unstructured data (PDFs, notes, forms) into usable formats Working with RAG pipelines and vector databases (FAISS, Pinecone, etc.) Embedding LLMs into user-facing healthcare tools (e.g., AI assistants, in-context help) Collaborating with product, design, and clinical teams to ship real features What You’ll More ❯

Prompt Engineer (AI & Data) - Junior to Experienced Remote work - United Kingdom Competitive day rate AI | LLMs | RAG | Healthcare Tech | Data Engineering Tech for Good | Real-World Impact | Ethical AI We're Hiring: Full Stack Developer for Generative AI ApplicationsAre you a seasoned developer excited about the future of AI? We're looking for a … Full Stack Developer with a strong Back End foundation and a passion for building innovative applications powered by Generative AI . Whether you're working with startups launching their first AI product or helping larger companies integrate LLMs into existing platforms, you'll be at the forefront of transforming ideas into intelligent, scalable solutions. What You'll Be Doing … Designing, testing, and refining prompts for LLMs (OpenAI, Claude, etc.) Building prompt libraries and evaluation frameworks Structuring unstructured data (PDFs, notes, forms) into usable formats Working with RAG pipelines and vector databases (FAISS, Pinecone, etc.) Embedding LLMs into user-facing healthcare tools (eg, AI assistants, in-context help) Collaborating with product, design, and clinical teams to ship real features More ❯