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Build the integration layer powering next-generation AI for professional services. Our client is a productivity/search/AI platform that sits on top of the daily workflow tools used by professional services firms — Microsoft 365, Slack, browsers, storage systems and more — and brings everything into one AI-powered dashboard. We ingest, structure, vectorise and organise content so it can be used with LLMs for Q&A, summarisation, auto-categorisation and intelligent research workflows.
Job Responsibility:
Architect and build integrations with third-party platforms (Microsoft Graph, Slack, browsers, etc.)
Design robust ingestion pipelines to process and structure high-volume data
Work closely with our AI team to push structured data into LLM-driven pipelines
Help shape database schemas and content organisation strategy
Collaborate with frontend engineers to design intuitive integration configuration flows
Set engineering standards and mentor other engineers as we grow
Requirements:
5+ years software engineering experience – ideally with Python
Experience building production API integrations
Strong systems thinking — data modelling, pipelines, scaling considerations
Excellent communication skills
Comfortable operating in a fast-moving startup environment
Nice to have:
Exposure to LLM workflows (classification, summarisation, embeddings, etc.)
What we offer:
Meaningful early-stage equity
Direct influence over product and architecture
Opportunity to grow into broader technical leadership