Founding Engineer (£100k–150k + Equity) at Pharosyn at Jack & Jill/External ATS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

150000.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TypeScript, React, LLM Orchestration, Data Engineering, Cloud Infrastructure, Multi-tenant Architecture, Feature Delivery, AI Agents, Data Pipelines, Medallion Architecture

Industry

Staffing and Recruiting

Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to speak to Jack. Founding Engineer Salary: £100k–150k + Equity Company Description: High-growth AI data startup Job Description: As the first engineering hire, you will build AI agents that automate complex data reasoning for enterprise industries. You will own features end-to-end across AI orchestration, data engineering, and multi-tenant infrastructure. This is a high-autonomy role designed for an exceptional engineer ready to shape the technical foundation of a next-generation intelligence platform. Location: London, UK Why this role is remarkable: Join as employee #1 with significant equity and direct influence on product strategy alongside the founders. Backed by top-tier venture programs and working directly with major enterprise clients on production AI systems. Unique opportunity to work at the intersection of LLM orchestration and high-stakes, unstructured data processing. What you will do: Build and deploy production-grade LLM orchestration frameworks and evaluation loops using Python and TypeScript. Design scalable data pipelines and medallion architecture to ingest and transform heterogeneous data sources. Architect secure, multi-tenant cloud infrastructure and manage end-to-end feature delivery for enterprise customers. The ideal candidate: Proven track record of building and shipping real products with a high bias for action and speed. Proficiency in TypeScript/React and Python, with a mastery of modern AI coding tools to maximize output. Comfortable with ambiguity and a 6-day startup work cycle in a fast-paced, high-accountability environment. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Responsibilities

The first engineering hire will be responsible for building AI agents that automate complex data reasoning for enterprise industries, owning features end-to-end across AI orchestration, data engineering, and multi-tenant infrastructure. Responsibilities include building and deploying LLM orchestration frameworks, designing scalable data pipelines, and architecting secure cloud infrastructure.