Posted: 8 June
The role
Duration: Initial 6 months (with strong extension potential)
About the RoleWe’re supporting a leading organisation looking to hire an experienced LLM / Generative AI Engineer to design and deliver advanced GenAI solutions.This is a hands-on contract role suited to someone with deep expertise in Large Language Models (LLMs), prompt engineering, and building production-grade GenAI applications. You’ll play a key role in delivering innovative AI capabilities that drive real business value.
Key Responsibilities
Design, build, and deploy LLM-powered applications and GenAI solutionsDevelop and optimise prompt engineering strategies for performance and accuracyImplement RAG (Retrieval-Augmented Generation) pipelines using structured and unstructured dataFine-tune and customise foundation models and LLMs where required.Integrate GenAI solutions into enterprise systems, APIs, and applicationsWork with data teams to build and optimise vector databases and embedding pipelinesEnsure solutions are scalable, secure, and production-readyImplement monitoring, evaluation, and guardrails for LLM outputsCollaborate with stakeholders to translate use cases into technical solutionsStay up to date with emerging trends in LLMs, GenAI, and AI toolingExperience RequiredStrongmercial experience (typically 4–8+ years) in software engineering, data science, or machine learningProven experience building and deploying LLM / Generative AI applications in production environmentsHands-on experience with RAG architectures, embeddings, and vector searchExperience working with LLM APIs and frameworks (, OpenAI, Azure OpenAI, Anthropic, Hugging Face)Strong understanding of prompt engineering techniques and optimisation strategiesExperience working with vector databases (, Pinecone, Weaviate, FAISS, Chroma)Practical experience with model evaluation, tuning, and performance optimisationExperience integrating AI solutions into APIs, microservices, and front-end applicationsStrong understanding of data handling, preprocessing, and pipeline developmentKnowledge of AI safety, hallucination mitigation, and guardrail implementationExperience working in agile, cross-functional delivery environmentsPrevious contract or consulting experience in enterprise settings is highly desirable.Key SkillsPython (essential)LLM frameworks (LangChain, LlamaIndex, Semantic Kernel)API integration and microservices developmentCloud platforms (Azure, AWS, or GCP)Vector databases and embeddingsGit, CI/CD, and DevOps practicesDesirable ExperienceExperience with Azure AI / Microsoft Copilot stackFine-tuning open-source models (, LLaMA, Mistral)Experience with multi-modal models (text, image, audio)Front-end integration experience (, React-based AI applications)Exposure to AIernance and responsible AI frameworksIndustry experience in [Finance / Retail / Healthcare – tailor as needed]What’s on OfferOpportunity to work on cutting-edge GenAI and LLM projectsHigh-impact role delivering real-world AI use casesFlexible working arrangementsApply NowIf you’re a skilled LLM / Generative AI Engineer looking for your next contract and want to work on innovative AI solutions, we’d love to hear from you.
#4802414 - Ashley Sharp
