LLM Specialist / AI Developer
Role details
Job location
Tech stack
Job description
The LLM Specialist builds AI components embedded within the workflow platform. Initial use cases include intelligent extraction of customer data from inbound communications and Copilot-style assistance integrated across the workflow journey.
This is a hands-on technical role requiring the design of prompt frameworks, model integrations, and evaluation mechanisms that ensure AI solutions are robust, reliable, and suitable for production within a regulated environment., * Design and build AI components (e.g. extraction, classification, summarisation, assist) embedded within iQcodex workflows
- Select appropriate models and providers (e.g. Copilot, Azure OpenAI) per use case and own end-to-end integration
- Engineer prompts, structured outputs, and grounding strategies suitable for a regulated financial services environment
- Develop evaluation harnesses to assess accuracy, robustness, and acceptable failure modes
- Partner with Process Automation Developers to seamlessly embed AI components into production workflows
- Contribute to AI governance and risk frameworks, including data handling, auditability, and escalation to human review
Requirements
Do you have experience in REST?, Do you have a Master's degree?, * Proven experience integrating LLMs into production business workflows
- Hands-on exposure to Copilot (Microsoft 365 Copilot, Copilot Studio) or Azure OpenAI
- Strong Python (or equivalent) for integration and evaluation layers
- Solid understanding of REST APIs and API security within regulated environments
- Pragmatic understanding of LLM limitations, with a disciplined approach to testing and evaluation
Desirable
- Experience delivering solutions within financial services or other regulated industries
- Familiarity with retrieval-augmented generation (RAG) and structured output prompting techniques
- Exposure to iQcodex or comparable low-code workflow platforms