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 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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