Backend Engineer

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

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