Founding Engineer (Agentic Commerce Startup) - Up to £140k + Equity

Few&Far

Greater London

Hybrid

GBP 126,000 - 154,000

Full time

5 days ago
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Benefits offered by this job

Hybrid London office (Shoreditch)
Strong equity

Job summary

Few&Far is building the trust and risk layer for autonomous commerce. You will work directly with the Founders to build the product end-to-end, from architecture and early prototypes through to production.

The initial focus is on the backend of the agentic commerce infrastructure, risk engine and payment flows, with cross-team work in ML and UX. You’ll influence technical direction, decide on stack and engineering approach, and shape the product in a hands-on 0-1 startup environment.

Qualifications

  • 6+ years of professional software engineering experience.
  • Strong backend engineering skills with full-stack capability.
  • Experience shipping production software end-to-end.
  • Experience building something from 0-1 in an entrepreneurial environment.
  • Experience working with ML/AI systems or infrastructure.
  • Strong product instincts and customer focus.

Responsibilities

  • Build the product end-to-end with the Founders, from architecture to production.
  • Influence the technical direction, stack choices, and engineering approach.
  • Focus on backend infrastructure, risk engine and payments flows.
  • Collaborate across ML/AI and UX to integrate end-to-end solutions.

Skills

Backend engineering
Full-stack capability
Production software
ML/AI systems experience
Product instincts
High agency and low ego

Job description

  • Hybrid London: 3 x days per week in office, Shoreditch
  • Up to £140k + strong equity
Build the technical foundation for autonomous e-commerce.

We're working with a very early-stage startup building the trust and risk layer for agentic commerce.

As AI agents become capable of searching, selecting and purchasing products autonomously, a new problem emerges: how do you know an agent will actually make the right purchase for the person?

The company is building technology to assess this "alignment risk", combining ML, LLMs and risk modelling with payment infrastructure to make autonomous transactions safer and more trustworthy.

The Role
  • You'll work directly with the Founders to build the product end-to-end, from architecture and early prototypes through to production
  • You’ll have significant influence over the technical direction, with the opportunity to make decisions around the stack, architecture, and engineering approach
  • The initial focus will be on building the backend of the agentic commerce infrastructure, risk engine and payment flows
  • You’ll also work across ML and end-user UX, so this suits someone who is comfortable operating beyond a traditional backend remit
You’ll work on problems across:
  • Agentic AI / LLMs
  • Payment infrastructure
  • Backend systems
  • Agentic commerce protocols
  • End-user product & UX
What We're Looking For
  • Engineers who have already demonstrated they can operate successfully in a 0-1 environment
  • Someone with strong software engineering fundamentals who enjoys making decisions with incomplete information
  • Ideally someone who has worked in a technically demanding startup / scale-up environment
  • Fintech / payments experience would be highly useful, as would experience working closely with ML teams
You'll have:
  • 6+ years of professional software engineering experience
  • Strong backend engineering skills with full-stack capability
  • Experience shipping production software end-to-end
  • Experience building something from 0-1, ideally within an entrepreneurial environment
  • Experience working with ML / AI systems or infrastructure
  • Strong product instincts and an understanding of the customer problem, not just the technical solution
  • High agency and low ego
The ideal profile is someone who has spent time somewhere technically tough, has built things from scratch, and is now looking for considerably more ownership.

Early career experience in banking / fintech would be a bonus

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