Finary(finary.com) Logo

Finary(finary.com)

AI Product Engineer

Posted 14 Days Ago
Remote
Hiring Remotely in Ireland, IRL
Mid level
Remote
Hiring Remotely in Ireland, IRL
Mid level
Build and operate production AI products, including sales acceleration systems, recommendation engines, and agentic operating systems. Own solutions end to end by gathering user needs, designing, coding, deploying, monitoring, and maintaining them. Evaluate agent decisions, detect performance drift, enable non-engineers to create automations, and contribute to shared AI infrastructure. Work across TypeScript, Rust, Ruby, Google Cloud, Kubernetes, and infrastructure as code while collaborating across advisory, sales, operations, and engineering.
The summary above was generated by AI
What is Finary?

Money is broken. Most people's wealth sits in products they did not choose, with fees they cannot see, and a private banker costs more than they will ever pay. We are putting one in everyone's pocket: the same quality of advice for a €10K saver and a €10M client.

Mounir launched Finary in 2021, and more than 1M people now track their wealth with us, for free. Finary AI turns that financial context into a plan, and our own investment products and in-house wealth advisors (Finary One) make it real: clarity on what you have, guidance on where you are going, action to get there.

Why now?

AI makes this vision possible, and 3 things make it hard to copy:

  • Data: years of per-user financial history, goals and risk profiles that no public dataset holds.

  • Brand: half of our new users come from our own channels, and 1 signup in 5 names our YouTube channel.

  • Licences: stocks, ETFs and crypto on one regulated platform, passportable across Europe. We started early, when a simple registration was enough: PSAN in 2022, Investment Firm licence in March 2026, MiCA in July 2026. Since July, every crypto platform in Europe must be licensed or stop.

Many fintechs will have the AI, and a few will have the licences. We have all 3. We raised €40M from Hedosophia, Y Combinator and Speedinvest, alongside founders and operators like Steve Anavi & Alexandre Prot (Qonto), Matthieu Rouif (Photoroom), Eric Demuth (Bitpanda), Axel Weber (former UBS Chairman) and Harsh Sinha (CTO at Wise). There's never been a more exciting time to join.

What we offer

We're 70 builders who genuinely love what they do: real ownership from day one, tier-1 salary and equity, offices in the heart of Paris with hybrid remote, and quarterly gatherings we actually look forward to.

We hire A-players who are as kind as they are demanding, people whose ideas transform not just our product but the way we work and think. Our culture is direct, transparent, and built on radical candor: we challenge each other openly, then commit. And we don't hedge on AI. It's the single most important skill of the next decade and a real bar here. Everyone at Finary has rebuilt how they work around it. If that's already second nature to you, you'll be surrounded by people pushing that frontier every day.

Read more about our values here.

The opportunity

AI is not a side project at Finary: it's how we intend to run the company. Our teams already build their own automations, so this role is about the hard part: complex orchestrations, and intelligence inside the products our advisors and operations team rely on every day. You own what you build end to end, from understanding the need with the people who'll use it to running it in production. We move fast and need an AI product engineer to move with us.


What you'll do
  • Advisory at scale: build the closing machine and the systems that accelerate our sales team

  • Allocation engines: build the recommendation engine that captures our advisors' expertise

  • Operating systems: build the agentic layer that lets our operations team orchestrate a fleet of AI agents, with minimal humans interactions

  • End-to-end ownership: gather needs with the teams who use your products, then design, build, deploy and maintain them; define what a correct agent decision looks like, measure it, and catch drift before users do

  • Enablement: help non-engineers build their own automations, step in when they need something more robust, and work with the rest of engineering on shared agentic infrastructure

What we're looking for
  • Production software experience: 3+ years shipping production grade software, including products you've owned end to end, from gathering needs to running them

  • AI systems in production: you've built and run LLM integrations, agents and multi-step orchestrations in production. You can explain how they work and evaluate them. You know when a simple rule beats an agent, and AI coding tools are part of your daily work.

  • Range across the stack: comfortable across several languages and codebases, and quick to pick up new ones. Our stack is TypeScript, Rust and Ruby, on Google Cloud and Kubernetes with infrastructure as code. You don't need to be an SRE, but you deploy and run what you build and keep data correct as systems evolve

  • Product sense and UX: you start from the problem, not the technology, and you care about the people using what you build and how it feels to use

  • High agency: you work across teams and switch context often, and you find the next problem worth solving and own it without waiting to be told

  • French and English: fluent French to work with our advisory team and the rest of the company, and professional English

  • Based in Western Europe: we expect quarterly presence for our onsite weeks in Paris. This role is open to candidates based in Europe with the right to work in the EU.

  • We're particularly interested in:

    • An agentic system you built that is in production and used today

    • How you know it works, and what it saves the people using it

    • A time you chose a simple script or rule over an agent, and why

Nice to have
  • Familiarity with fintech or a regulated industry

  • Passion for personal finance and investing

What we offer
  • Competitive salary: €65k - €80k base depending on experience, plus stock options

  • Hybrid setup: teammates across France and Europe, with one week together in Paris every quarter (travel and accommodation covered)

  • Closeness to your users: you're part of the Operations team, work across advisory, sales, operations and engineering, and have direct access to the people using what you build from day one

  • High-performing environment: A-players who challenge you and help you grow

  • Impact that compounds: what you build today makes every team more effective tomorrow

Similar Jobs

22 Days Ago
Remote or Hybrid
Ireland, IRL
Senior level
Senior level
Artificial Intelligence • Information Technology • Productivity • Software • Analytics
Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship end-to-end product features, set technical direction, evaluate LLM reliability and trade-offs, and accelerate validated learning through close collaboration with engineering, product, and design teams.
Top Skills: AWSBraintrustClaude CodeCloudflareCodexCursorElasticGraphQLJavaKeboolaKotlinKubernetesLookerMongoDBPostgresPydantic AiPythonReactRedisRelayRubySnowflakeTerraformTypescript
22 Days Ago
Remote or Hybrid
Ireland, IRL
Senior level
Senior level
Artificial Intelligence • Information Technology • Productivity • Software • Analytics
Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship production software, establish technical direction, and partner with product and design teams to accelerate validated learning. The role requires strong backend and distributed-systems expertise, hands-on LLM product experience, and practical use of AI coding tools.
Top Skills: AWSBraintrustClaude CodeCloudflareCodexCursorElasticGraphQLJavaKeboolaKotlinKubernetesLookerMongoDBPostgresPydantic AiPythonReactRedisRelayRubySnowflakeTerraformTypescript
2 Months Ago
In-Office or Remote
Entry level
Entry level
AdTech • eCommerce • Marketing Tech • Retail
Build and iterate AI systems spanning computer vision, image manipulation, video generation, and agentic data analysis. Own the full pipeline from model research and API integration through scalable web application deployment. Develop rapid MVPs using AI-assisted tools, orchestrate multiple models into autonomous workflows, and test solutions in e-commerce operations before scaling them into SaaS products.
Top Skills: Claude CodeComfyuiControlnetCrewaiDiffusersFalFastapiGpt CodexIp-AdaptersLangchainNext.JsPythonReplicateReplitRunpod

What you need to know about the Dublin Tech Scene

From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account