• Design and implement end-to-end AI solutions for document understanding and automated report generation.
• Build and deploy LLM-based systems, including RAG pipelines, to retrieve and combine context from multiple data sources.
• Work with unstructured and semi-structured data such as PDFs, documents, images, and historical records, transforming it into usable inputs for AI systems.
• Rapidly prototype, test, and iterate on AI solutions to deliver measurable improvements.
• Integrate AI outputs into existing systems via APIs, collaborating with backend teams working in C# and SQL Server environments.
• Ensure solutions are scalable, reliable, and aligned with real-world business workflows.
• Address performance, accuracy, and usability challenges in AI-generated outputs.
• Operate within data privacy and security constraints, including handling sensitive information and exploring local model deployment where required.
• Collaborate with internal teams to understand requirements and refine use cases.
• Communicate technical concepts, trade-offs, and solution approaches clearly to non-technical stakeholders.
• Contribute to shaping the organisation’s approach to AI adoption and best practices.