Job Description
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 tooling
Experience 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 practices
Desirable 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 potential
Apply 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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