Mentor Talent Acquisition
Greater London / Global
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Greater London / Global
We’re building LLM-powered workflow tools to support investment research for private market investors, used by leading private equity and consulting firms globally. The company is profitable, bootstrapped, and growing quickly, with a team of 30+ across London, NYC, and Sydney.
The Role
This is a high-ownership backend engineering role focused on building and scaling systems that power an AI-driven research platform.
You’ll work across backend systems, data pipelines, integrations, and internal infrastructure — partnering closely with product, commercial, and operations teams to automate workflows and improve decision‑making.
What You’ll Do
Design and scale backend systems supporting LLM workflows, vector search, and orchestration
Build data pipelines and internal platforms integrating product, CRM, and financial systems
Develop automation and internal tooling to improve company efficiency
Own systems end-to-end — from architecture to production
Contribute to engineering culture and technical direction
Example Projects
Customer Health System: unify product usage, CRM, and feedback into actionable insights
User Feedback Pipeline: process calls with LLMs to extract themes and product insights
Billing Infrastructure: build systems for complex B2B pricing and automated invoicing
Internal Data Platform: create reliable pipelines and APIs for reporting and operations
About You
Based in London (or willing to relocate)
Experience owning backend systems end-to-end
Strong in Python or TypeScript
Strong PostgreSQL and familiarity with modern data platforms (Snowflake, BigQuery, etc.)
Comfortable working in fast-moving startup environments
Enjoy translating business problems into scalable technical systems
Nice to Have
Experience with AI/LLM workflows or internal platforms
Private health insurance
Dinner when working late
Team off-sites
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