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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