GenAI Engineer - Sheffield

Salary: £104,000 - 117,000 per year

Requirements:

• Strong experience in AI/ML engineering with hands-on exposure to Generative AI use cases.
• Experience building RAG applications in enterprise environments.
• Strong knowledge of document parsing, OCR, and image-based data extraction.
• Experience with LLM orchestration frameworks and prompt design.
• Experience with vector databases and semantic search.
• Very strong programming skills in Python.
• Experience working with SQL/NoSQL databases and enterprise data integration patterns.
• Understanding of evaluation frameworks for GenAI systems using benchmark datasets and ground-truth-based validation.
• Experience building scalable APIs/services and production-grade AI workflows.
• Experience with Azure-based AI stack is preferred.
• Experience with high-volume document processing is preferred.
• Familiarity with enterprise architecture, security, and compliance controls is preferred.
• Exposure to monitoring, model evaluation, and AI observability tools is preferred.
• Ability to independently build and deploy GenAI applications from ingestion to retrieval and evaluation.
• Strong problem-solving skills with a practical implementation mindset.
• Comfortable working across data engineering, AI engineering, and application integration.

Responsibilities:

• Design and build GenAI/RAG-based applications using data from multiple enterprise systems.
• Integrate with structured and unstructured data sources, including databases, APIs, files, and document repositories.
• Develop pipelines to parse and extract data from documents and images using OCR, document intelligence, and related tools.
• Process and structure extracted content for downstream AI use cases.
• Store parsed and chunked content in a vector database and manage embeddings effectively.
• Implement and optimize retrieval pipelines, including chunking, indexing, metadata tagging, filtering, and reranking.
• Build workflows to interact with relational and enterprise databases for querying and enrichment.
• Ensure the application follows strong evaluation practices, including accuracy, groundedness, relevance, hallucination checks, and response quality against ground truth.
• Work closely with architects, platform teams, and business stakeholders to deliver scalable and secure solutions.
• Follow enterprise standards for security, governance, observability, and performance.

Technologies:

• AI
• Azure
• LLM
• NoSQL
• Python
• RAG
• SQL
• Security
• Cloud

More:

We are seeking a GenAI Engineer to help us build end-to-end AI applications in an enterprise environment. In this role, you will work across data ingestion, document and image extraction, retrieval pipelines, vector databases, and evaluation frameworks to deliver scalable, secure, and high-quality AI solutions. You will collaborate closely with architects, platform teams, and business stakeholders, and we value practical problem-solving, strong implementation skills, and the ability to work across data engineering, AI engineering, and application integration.

last updated 30 week of 2026