Founding AI Engineer

Paires; United Kingdom; On-site; GBP 122,000 - 197,000; Full time

Benefits offered by this job

Fully remote

Async work culture

Equity potential

Job summary

Paires in the United Kingdom seeks a Founding AI Engineer to own the agent layer of our AI-first fundraising platform: the conversational agents that run warm outreach and investor relationships, and the matching engine behind them.

You will own the core: the agent system that researches investors, drafts outreach, carries conversations end-to-end, and the embeddings-based matching engine that sharpens matches over time.

Qualifications

• Have been one of the first engineers at a quick-growing company, running the show: you know what it takes to scale and deliver a product, not just manage it.
• Have at least 3 years of shipping production software behind you, and have taken a full app from zero to production and kept it running, end to end. This seat needs a whole-product builder, not only a model specialist.
• Have shipped LLM systems to production and have real examples you can walk us through, including an agent system that is more than a single prompt in a loop.
• Have built retrieval, ranking, or matching with embeddings in production.
• Write strong Python and reason clearly about data and systems.
• Design evals, because you care whether the output is actually good.
• Own outcomes end to end and move fast with AI tooling. You write the code yourself: this is a builder seat, not a management seat. There is no team to hand work to.
• Bonus: TypeScript in production, FastAPI, vector databases, fintech or fundraising.

Responsibilities

• Own the agent layer: an orchestrator routing work to specialist agents that research investors, draft outreach, and carry investor conversations end to end.
• Own the matching engine behind it: embeddings, ranking, scoring, and a feedback loop that sharpens matches over time.
• Own the backend and data: Python, Postgres, Supabase, AWS, clean pipelines. The agent layer is built on Claude Agent SDK and Pydantic AI.
• Ship to production end to end, and decide what to build next as we scale.

Skills

Python

LLM systems

System design

Reasoning about data and systems

Tools

Postgres

Supabase

AWS

Claude Agent SDK

Pydantic AI

FastAPI

Vector databases

Job description

We are hiring our Founding AI Engineer to own the agent layer of an AI-first fundraising platform: the conversational agents that run our warm outreach and investor relationships, and the matching engine behind them.

The role

You own our core: the agent system that runs the product - agents that research investors, draft outreach that reads human, and carry investor conversations end to end - plus the matching engine that pairs founders with investors behind them. You build it, you scale it, and you run it. This is the most important surface in the product, and it is yours.

What you will own

• The agent layer: one orchestrator routing work to specialist agents. Those agents research investors, draft outreach that reads human, and carry investor conversations end to end. Evals gate what they are allowed to do alone. This is where you start.


• The matching engine behind it: embeddings, ranking, scoring, and the feedback loop that makes matches sharper over time.


• The backend and data behind it all: Python, Postgres, Supabase, AWS, clean pipelines. The agent layer is built on the Claude Agent SDK and Pydantic AI.


• Shipping to production end to end, and the judgment to know what to build next as we scale.

You are a fit if you

• Have been one of the first engineers at a quick-growing company, running the show: you know what it takes to scale and deliver a product, not just manage it.


• Have at least 3 years of shipping production software behind you, and have taken a full app from zero to production and kept it running, end to end. This seat needs a whole-product builder, not only a model specialist.


• Have shipped LLM systems to production and have real examples you can walk us through, including an agent system that is more than a single prompt in a loop.


• Have built retrieval, ranking, or matching with embeddings in production.


• Write strong Python and reason clearly about data and systems.


• Design evals, because you care whether the output is actually good.


• Own outcomes end to end and move fast with AI tooling. You write the code yourself: this is a builder seat, not a management seat. There is no team to hand work to.


• Bonus: TypeScript in production, FastAPI, vector databases, fintech or fundraising.

What we offer

Fully remote and async. Your day overlaps with US Eastern time for a few hours - not full US hours. Meetings batch on Mondays and Thursdays, the rest is deep work. The best AI tooling, paid (Claude Code, Cursor, top models). Real ownership of the core product, with equity potential for the right person.

Compensation Range: CA$230K - CA$370K