Founding AI Engineer

🔥 47 minutes ago

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Paires

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

☁️ SaaS

🤝 B2B

Fintech • SaaS • B2B

Paires is a private capital raising platform that connects founders with a curated network of family offices, venture funds, sovereign and private investors. The firm combines human capital markets expertise with AI-driven matching to prepare and execute raises with discretion and efficiency, positioning investor relationships long before capital is needed. Paires emphasizes founder-specific, sector-agnostic mandates—running raises across semiconductors, frontier hardware, AI and enterprise software, fintech and capital markets, health & life sciences, energy, logistics, consumer, and space & defense—and reports outcomes such as $2B+ deal volume represented, 3,500+ investor introductions, and a claim of 70% greater efficiency versus traditional fundraises.

📋 Description

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

🎯 Requirements

• 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.

🏖️ Benefits

• Fully remote and async • Your day overlaps with US Eastern time for a few 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.