Founding engineer

Overview

We're building Dainamic, an agentic AI workbench for financial advisory services. The product is live with users and shipping weekly. We're now hiring our first engineer.

Role

You will own all development at Dainamic: backend, frontend, data pipelines, infrastructure, and our AI agent harness. Dainamic is an AI-native company — most of our development happens through AI, and you'll spend more time directing, reviewing, and overruling AI than typing code yourself. You will read every diff, smell when the AI is wrong, design systems no AI would have designed, and ship a deterministic financial engine where wrong numbers kill trust instantly.

This is a builder seat, not a manager seat. You will be the entire engineering function for the next 12 months. You will hire engineer #2 when it's the right call — not before.

Who we're looking for

We need someone with 7–10 years of senior, hands‑on software engineering experience who happens to be excellent at directing AI — not the other way around. Effective AI‑assisted development at this level demands more seniority, not less, because the bottleneck moves from typing to judgment . You will be excited by the prospect of joining an AI-native company where you're paired with the best AI tooling on the market and expected to compound that advantage.

Qualifications

• Top‑tier engineering or computer science school.
• Fluent in both French and English — written and spoken.
• 7–10 years of professional software engineering, with at least 4 years as a senior Individual Contributor at a product company.
• Genuine full‑stack: shipped production‑grade backends and modern frontends. No architects who haven't shipped in two years.
• Demonstrated AI‑assisted development fluency. You've shipped non‑trivial code with AI tooling in the last six months. You can articulate, with specifics, when AI accelerated you and when it lied to you.
• You've owned data‑pipeline correctness in a domain where wrong numbers have consequences.
• You've run production infrastructure solo for a small team.
• Critical thinking and an obsession with attention to detail.
• Entrepreneurial spirit. You make product judgment calls, not just technical ones. You know what to cut.
• Integrity. You tell us when you're wrong, when the AI is wrong, and when a deadline is unrealistic — early.

Strong plus

• Financial or accounting domain knowledge.
• LLM application experience: prompt caching, tool use, RAG, evals, cost control.
• Multi‑tenant SaaS, ISO 27001 / SOC 2 exposure, public open‑source footprint.

What we expect from you

This is not a 9‑to‑5 role. It is a founding role at startup with paying users, a defensible domain wedge, and a roadmap that requires us to move fast. We expect founder‑level commitment, ownership, and intensity — the kind that comes naturally when you genuinely care about what you're building. You manage your own time. But the bar for output is high, the standard for quality is non‑negotiable, and we are explicitly looking for candidates who are excited by that, not intimidated by it.

If you're optimizing for predictable hours and a low‑stress quarter, this seat is not for you, and that's fine. If you've been waiting for a role where you can build the entire engineering org from scratch, set the bar yourself, and keep equity in the upside — read on.

What you get

• Founding Engineer title with full technical ownership from day one.
• Equity, we will be transparent about the cap table.
• Cash compensation above market.
• A live product with paying users, weekly shipping cadence.
• A development environment that is genuinely state‑of‑the‑art — and yours to evolve.
• A founder who has done the homework on the domain, the product, and the market — and who will treat you as a peer.

Application Process

• 30‑minute intro call with Elias (founder).
• Technical screen — screening questions, AI‑harness walkthrough, system design.
• Take‑home task: we hand you an open problem to work on at home, on your own time. You scope it, prioritize, design the solution, and build a working prototype.
• Business case debrief: you walk us through your prioritization, your design choices, and your prototype.
• Offer.

How to apply

Apply through LinkedIn.

Required: your CV.

Optional but appreciated — attach or link any of the following to your LinkedIn application. Anything that shows how you actually work will jump you to the front of the queue:

• A link to your most‑customized AI dev environment (.claude/, .cursor/, dotfiles, agent configs).
• Your GitHub profile.
• A blog post on agent harnesses or AI‑assisted development.
• A recorded screencast of you directing AI on a real problem.

We read every application. We respond to every application within seven days. If you're a fit, we move fast.