AI Engineer
Indexed description
Duration: Contract until Dec 2026, possible extension
Hours: 40 hrs/week
About The Role
We are seeking two AI Engineers to work with a large public sector organisation on a high-impact program delivering practical AI solutions that improve decision-making, automate document-heavy workflows, and uplift enterprise AI capability. This is a hands-on engineering role focused on building production-grade AI services.
Responsibilities
You’ll design, build and deploy AI solutions end-to-end, including ingestion, orchestration, inference, integration into business systems, and operationalisation.
- Develop and deploy advanced AI across platforms such as Databricks, AWS Bedrock, and Microsoft AI platforms
- Build automated review solutions for unstructured documents (summarisation, classification, information extraction)
- Implement Retrieval-Augmented Generation (RAG), document intelligence, and strong MLOps / LLMOps practices
- Demonstrated experience delivering production-grade AI and data solutions in Azure and AWS cloud environments with strong governance/privacy considerations
- Hands-on capability with Databricks, Python, SQL, and modern cloud data/AI services
- Experience implementing document extraction pipelines and RAG architectures
- Solid understanding of LLMs/SLMs, evaluation approaches, and integrating models via APIs
- Strong delivery discipline using CI/CD, plus experience monitoring and optimising cost, latency, and reliability in production
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