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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. Paires is where founders come to raise capital. We pair them with the right investors from a large, engaged global investor network, then our agents run the warm outreach and manage the relationships that turn into meetings. It is a two-sided platform, a product for founders and a living network on the investor side, not one-way matching. We are live with paying clients, profitable and self-funded, and we run as a small, senior, flat team that ships fast. 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. How to apply: hit apply, which takes you to our short application form. We read every application. Compensation Range: CA$230K - CA$370K
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.