Help build the shared automation and AI capabilities that power Aidn’s “digital colleague” direction
Designing and evolving the workflow engine that structures how work moves through Aidn
Building the automation layer that performs real, auditable actions inside workflows
Integrating capabilities like speech-to-text, summarisation, drafting assistance, and contextual question-answering directly into workflows
Exploring controlled, goal-driven automation for tasks such as preparing cases or drafting letters
Creating reusable components, APIs, evaluation patterns, and tooling for automation and AI

Requirements

Strong software engineering experience building and operating production systems
Hands-on experience working with LLMs and/or speech-to-text in real products
Experience taking AI capabilities from prototype to production, including reliability, latency, cost, and failure handling
A quality and evaluation mindset, with experience measuring system behavior and preventing regressions
Familiarity with cloud platforms (preferably Azure) and modern observability tooling
Strong communication skills and the ability to collaborate across teams and disciplines

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineeringproduction systemsLLMsspeech-to-textAI capabilitiesreliabilitylatencycost managementfailure handlingevaluation patterns

Soft Skills

communication skillscollaborationquality mindsetevaluation mindset