Founding AI Platform Engineer: Self-Improving Learning

SalesAPE.ai; United Kingdom; Hybrid; GBP 120,000 - 190,000; Full time

Job summary

SalesAPE.ai is seeking a Senior Founding Engineer to build the core, self-improving learning platform behind SalesApe and Self-Serve Abi. You will architect and ship production-grade code, focusing on a scalable, privacy-preserving intelligence layer that learns from millions of business interactions.

You will partner with the Head of Engineering to prioritize the technical roadmap, map data pipelines, and drive end-to-end delivery of learning loops that improve product outcomes over time.

Qualifications

• Experience in designing and building large-scale learning platforms.
• Strong background in data engineering, pipelines, and modeling.
• Proficiency with Python/TypeScript and cloud infrastructure.
• Knowledge graphs, vector stores, and retrieval systems are a plus.
• Experience with reinforcement learning or AI evaluation is beneficial.

Responsibilities

• Architect and build the intelligence layer behind SalesApe and Abi.
• Lead production-grade, scalable code for a self-improving platform.
• Collaborate with leadership to prioritize the technical roadmap.
• Define and maintain robust data pipelines and evaluation frameworks.

Skills

Distributed systems

Event-driven architecture

Data engineering

Stream processing

Feature stores

Data modeling

Graph databases

Vector databases

Python

TypeScript

SQL

Cloud platforms (AWS/GCP/Azure)

Reinforcement learning pipelines

LLM application design

AI evaluation frameworks

Tools

AWS

GCP

Azure

Python

TypeScript

SQL

Knowledge graphs

Vector databases

Job description

SalesAPE.ai is seeking a Senior Founding Engineer to build the core, self-improving learning platform behind SalesApe and Self-Serve Abi. You will architect and ship production-grade code, focusing on a scalable, privacy-preserving intelligence layer that learns from millions of business interactions.

You will partner with the Head of Engineering to prioritize the technical roadmap, map data pipelines, and drive end-to-end delivery of learning loops that improve product outcomes over time.