Founding Engineer at fast-growing AI data platform

Jack & Jill/External ATS; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A fast-growing AI data platform in London seeks a Founding Engineer to shape its critical infrastructure and APIs. You will be instrumental in defining architecture and data models for an advanced analysis engine designed to manage human feedback. The ideal candidate possesses strong Python expertise and experience with ML frameworks, enhancing data transparency at scale. Join a dynamic team with support from top-tier VCs, and enjoy the unique opportunity to impact the field of data science significantly.

Qualifications

• Strong proficiency in Python, ML frameworks, and data pipelines.
• Proven ability to transform prototypes into testable, production-ready modules.
• Experience in startup environments and complex machine learning systems.

Responsibilities

• Design and scale systems that serve insights from human feedback datasets.
• Collaborate with the CTO on core architecture and data models.
• Develop the core stack to ensure high performance and auditability.

Skills

Python

ML frameworks

Building scalable production APIs

Tools

Next.js

FastAPI

AWS

Job description

Founding Engineer

Company Description

Fast-growing AI data platform

Job Description

You will build the critical infrastructure and APIs powering an advanced analysis engine designed to ingest and structure massive volumes of human feedback. Working directly with the CTO, you will define architecture and data models to make complex data actionable, reliable, and auditable for enterprise clients in a fast-paced environment.

Location

London, UK

Why this role is remarkable

• Shape the technical foundation of a high-impact platform from the ground up as a founding team member
• Join a well-funded startup backed by top-tier VCs and led by experts in mathematics and complex data systems
• Tackle the unique challenge of making unstructured human data trustworthy and reproducible at scale for global enterprises

What you will do

• Design and scale robust systems that ingest and serve insights from massive datasets of human feedback
• Collaborate with the CTO to define core architecture, data models, and production-ready ML patterns
• Develop and evolve the core stack using Next.js, FastAPI, and AWS to ensure high performance and auditability

The ideal candidate

• Strong proficiency in Python, ML frameworks, data pipelines, and building scalable production APIs
• Proven ability to transform early-stage prototypes into testable, reproducible modules ready for enterprise-grade production
• Passionate about data transparency and experience working within early-stage startup environments or complex machine learning systems

Next Steps

1. Step 1. Visit our website
2. Step 2. Click 'Talk to Jack'
3. Step 3. Talk to Jack so he can understand your experience and ambitions
4. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role
5. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction
6. Step 6. If not, Jack will find you excellent alternatives. All for free