Job Title: AI Engineer
Location: Hybrid (UK wide, multiple roles)
Employment Type: Permanent
Salary: Competitive
Start Date: Immediate
Industry: IT Services & Consulting
DV clearance is required for this role due to the secure nature of the projects.
A leading digital and data consultancy is growing its AI capability and is looking for software engineers and data scientists with a passion for Generative AI to join its Digital & Data community.
This role sits at the intersection of engineering, AI experimentation, and real-world delivery. You’ll work in cross-disciplinary teams alongside product, design and engineering experts to explore, prototype and scale modern AI solutions that solve complex client problems.
You’ll be hands-on with emerging technologies, given the freedom to experiment, and supported by a strong internal AI community that values curiosity, learning and shared progress.
AI Engineer – Key Responsibilities
* Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic
* Building RAG (Retrieval-Augmented Generation) prototypes using vector stores and knowledge graphs
* Developing and testing agentic architectures enabling AI agents that reason, retrieve and act across systems
* Exploring LLMOps, evaluation tools and observability platforms (e.g. TruLens, LangSmith)
* Deploying solutions in modern cloud and DevOps environments (AWS, Azure, GCP)
* Continuous experimentation, learning and knowledge sharing within an internal AI community
AI Engineer – Key Skills Required
* Live & active DV clearance is required for this role
* Experience within secure public sector/government environments is key
* A software engineer with a strong interest in AI, or a data scientist with an engineering mindset
* Someone who experiments, prototypes and explores AI tools in your own time
* Comfortable with at least one language suited to AI systems and data workflows
* Experienced integrating models with APIs, data sources or production systems
* Curious about LLMs, RAG pipelines (vector and graph-based), and agent frameworks
* Familiar with cloud-native platforms (AWS / Azure / GCP) and DevOps / DevSecOps practices
* Collaborative, curious, and keen to learn and share knowledge
* Knowledgeable in prompt/context engineering, model evaluation, and LLMOps concepts
* Comfortable with distributed systems, microservices and RESTful APIs
Please apply now if this role is of interest.