Duration: Initial 6 months (with strong extension potential)
About the Role
We'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 solutions
Develop and optimise prompt engineering strategies for performance and accuracy
Implement RAG (Retrieval-Augmented Generation) pipelines using structured and unstructured data
Fine-tune and customise foundation models and LLMs where required.
Integrate GenAI solutions into enterprise systems, APIs, and applications
Work with data teams to build and optimise vector databases and embedding pipelines
Ensure solutions are scalable, secure, and production-ready
Implement monitoring, evaluation, and guardrails for LLM outputs
Collaborate with stakeholders to translate use cases into technical solutions
Stay up to date with emerging trends in LLMs, GenAI, and AI toolingExperience Required
Strong commercial experience (typically 4-8+ years) in software engineering, data science, or machine learning
Proven experience building and deploying LLM / Generative AI applications in production environments
Hands-on experience with RAG architectures, embeddings, and vector search
Experience working with LLM APIs and frameworks (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face)
Strong understanding of prompt engineering techniques and optimisation strategies
Experience working with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma)
Practical experience with model evaluation, tuning, and performance optimisation
Experience integrating AI solutions into APIs, microservices, and front-end applications
Strong understanding of data handling, preprocessing, and pipeline development
Knowledge of AI safety, hallucination mitigation, and guardrail implementation
Experience working in agile, cross-functional delivery environments
Previous contract or consulting experience in enterprise settings is highly desirable.Key Skills
Python (essential)
LLM frameworks (LangChain, LlamaIndex, Semantic Kernel)
API integration and microservices development
Cloud platforms (Azure, AWS, or GCP)
Vector databases and embeddings
Git, CI/CD, and DevOps practicesDesirable Experience
Experience with Azure AI / Microsoft Copilot stack
Fine-tuning open-source models (e.g., LLaMA, Mistral)
Experience with multi-modal models (text, image, audio)
Front-end integration experience (e.g., React-based AI applications)
Exposure to AI governance and responsible AI frameworks
Industry experience in [Finance / Retail / Healthcare - tailor as needed]What's on Offer
Opportunity to work on cutting-edge GenAI and LLM projects
High-impact role delivering real-world AI use cases
Flexible working arrangements
Competitive day rate with strong extension potentialApply Now
If 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.
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