Founding Engineer (Full Stack)

Posted Yesterday
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London, Greater London, England, GBR
In-Office
Senior level
Artificial Intelligence • Professional Services • Software • Consulting
The Role
Early full‑stack engineer defining product DNA, building multi‑step LLM/agent workflows, owning end‑to‑end workspace and UI, translating consulting practices into software, and shipping prototypes rapidly while collaborating with technical and non‑technical stakeholders.
Summary Generated by Built In
The Mission

We are replacing the Management Consulting industry with software.

The $1 trillion consulting industry is powered by some of the world’s brightest minds, yet they remain trapped in manual, inefficient workflows - spreadsheet orchestration, slide-deck assembly, and fragmented data synthesis. We are moving the industry from "human-plus-tools" to an autonomous platform that generates deeper insights, fewer "wasted hours", and better client experiences.

Backed by Cherry Ventures, Blue Lion, and the founders of QuantumBlack, our cap table includes angels from OpenAI, McKinsey, BCG, and Apple. We have the capital, the network, and the domain expertise, and we are now seeking further engineering support to get there faster.

The Challenge

As one of our first engineers, your role is no just "writing code". You will be defining the product DNA of the company. You will:

  • Build Beyond the Chatbot: Design multi-step agentic workflows that move past simple RAG into reliable, enterprise-grade inference as well as interactive user interfaces that delight users.

  • Design the Workspace, Not Just the Pipeline: Own the end-to-end product surface for critical systems - make product decisions, and deliver the product across the stack.

  • Translate Consulting Inefficiency into Product Impact: Develop insight on how knowledge work is changed in the AI-era - you have exposure to how consulting firms actually work; and opinions on how they should work

  • Interface with the Best: Work directly with technical & non-technical stakeholders across clients & advisory teams (OpenAI/McKinsey vets) to translate elite consulting tradecraft into code.

You Are a Fit If:
  • You are a Product/Full-Stack Engineer: You don’t need a 20-page PRD. You can take a vague user pain point from a design partner and ship a functional prototype by Friday.

  • You value Speed: You believe that in a seed-stage startup, iteration velocity is the only unfair advantage. You prefer shipping a 90% solution today over a perfect one next month.

  • You are "T-Shaped": You are deeply technical in NextJS/Typescript and LLM frameworks (PydanticAI, LangGraph, etc.), but you also care about systems design & UI polish.

Our Stack
  • Languages: Python, TypeScript

  • AI/Data: Pydantic / LLM Frameworks, PSQL

  • Infra: AWS, Terraform, PostgreSQL, Modal

  • Frontend: React / Tailwind

Why Join Us?
  • Real Ownership: Above market compensation and significant founding-level equity. You will own a meaningful piece of the company you are building.

  • Elite Peer Group: Join a team that has lived this problem at the highest levels of global consulting and AI research.

  • High Trust / Low Bureaucracy: We value clarity of thought and bias to action. No middle management, no pointless meetings - just building.

Skills Required

  • Deep technical experience with NextJS and TypeScript
  • Proficiency with Python
  • Experience with LLM frameworks (e.g., PydanticAI, LangGraph)
  • Experience with PostgreSQL / PSQL
  • Familiarity with AWS and Terraform
  • Experience with frontend frameworks React and Tailwind
  • Product mindset: able to ship prototypes quickly from vague requirements
  • Ability to collaborate with technical and non-technical stakeholders and translate domain expertise into product
Am I A Good Fit?
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The Company
0 Employees
Year Founded: 2025

What We Do

Riplo is a London-based software company developing an agentic AI operating system designed to solve workflow inefficiencies in the professional consulting industry. Its platform aims to make expert analytical work—particularly private equity diligence and portfolio management—repeatable, scalable, and compounding. By integrating AI agents with human expertise, Riplo provides a secure, data-driven operating layer for high-stakes financial advisory and strategic analysis.

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