Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)? Are you looking for a work environment that values trust, proactivity, and autonomy? Are our Engineering principles aligned with your vision? Then Pennylane is the right place for you!
We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones). We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while giving them access to the key financial information they need to make the best decisions for their business.
Pennylane is one of the fastest growing Fintechs in France (and soon in Europe!). In 5 years of existence, we've managed to:
Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants
Raise a total of €400 million, including from Sequoia — the famous Silicon Valley fund that invested early in companies like Google, Facebook, Airbnb, Stripe and Paypal
Grow from 7 cofounders to 1,000 happy Pennylaners, and earn a place among the greatest companies to work for in France (and remotely), with a 4.6/5 rating on Glassdoor
Build an international environment with more than 25 nationalities and a strong remote-friendly culture, where 30% of employees already work from all parts of Europe
Earn the trust of thousands of customers and accounting firms, with outstanding ratings
Reach more than 1,000,000 small and medium-sized enterprises (SMEs) and over 6,000 accounting firms using Pennylane in France
AI is reshaping how entrepreneurs and accountants work — and a growing share of the traffic to our product will increasingly come from agents, not only from humans. The Core AI team sits at the heart of our AI strategy: while our solution squads (Copilot, Autopilot, AI Studio) build customer-facing AI features, Core AI builds the shared foundations they all rely on, giving Pennylane a durable technical edge — including on cost and sovereignty.
By joining Core AI as an AI Engineer, you'll play a pivotal role in large projects, bringing your engineering and machine learning expertise to build the agentic intelligence, quality and models that our solution squads rely on.
Build and maintain the agent harness — the core runtime that orchestrates LLM calls, tool use, context construction, memory and guardrails — and make it reliable in production.
Own the evaluation stack: design eval pipelines, golden datasets, LLM-as-judge and human-eval workflows; track agent performance, regressions and failure modes, and turn production failures into systematic improvements.
Do prompt and behaviour engineering and retrieval/RAG at scale, defining what "good" looks like for agents completing complex accounting workflows end to end.
Host and improve our own small models where it creates leverage: serving and inference of open-source LLMs, help fine-tuning and post-training (SFT / DPO / RL), and document-extraction models — for performance, cost and sovereignty.
Work closely with Product teams and domain experts (accountants) so that fulfilling real user needs stays at the center of what we build.
Within one month:
You'll learn everything about our company, our teams and our vision during the first onboarding week.
You'll get familiar with our stack and AI tooling (agent harness, evaluation tooling, model providers, MCP), and deliver a few small contributions that give you a concrete taste of our tools and processes.
You'll be given time to meet your future stakeholders and gain a deep knowledge of our product and operations.
Within 3 months:
You'll be in charge of items in our roadmap, defining and prioritizing your tasks autonomously.
You'll be comfortable with our technical stack (Python, agentic frameworks, evaluation tooling, model serving and AWS).
You'll contribute to larger cross-team projects.
Within 6 months:
You'll proactively contribute to the team's roadmap.
You'll work with engineers and data practitioners on improving our stack, AI platform and evaluation practices.
You'll share your learnings and best practices within the team.
And beyond — the team will keep growing with the company, which means:
Opportunities to recruit and mentor new team members
Increased accountability in project leadership
Responsibilities to design and implement new processes, tools and best practices so your team works even more efficiently
Good to know: across our Tech organisation, engineers can take part in cross-cutting specialist groups ("fellowships") on topics such as evaluation, retrieval, prompt and behaviour design or model serving — a great way to share practices beyond your own squad.
Have 5–8 years of experience and are very strong in Python, with hands-on experience building LLM and agentic systems at scale in production — prompting, tool use, context construction, RAG, and handling failure, state and reliability (not just calling a model API).
Treat evaluation as a first-class discipline: golden datasets, LLM-as-judge, human eval, A/B testing, and measuring agent quality, regressions and edge cases.
Have a good grasp of applied LLM/ML and AI infrastructure (model serving, vector databases, cost and latency).
Have exposure to model fine-tuning and post-training (SFT, DPO, RL).
Have a balanced blend of technical, business and product skills, communicate well (including with non-technical domain experts), and are fluent in English (French is not mandatory).
To thrive at Pennylane, you need:
To speak English (levels are assessed and appreciated according to the department you're applying to)
To be energized by an ever-shifting work environment
To be highly collaborative (within your team and with other stakeholders)
To be sufficiently experienced to prioritize business-led actions in your day-to-day activity
We know that some people are less likely to apply than others if they don't feel like they meet the full list of criteria. If you're hesitating, we encourage you to apply: who knows, it might be the start of a meaningful and long-lasting collaboration.
A first interview with our Talent Acquisition Manager
A case study interview to discuss a topic closely related to one of our priorities (75 min)
A past-project interview to hear about your experience (60 min)
An interview with our Tech & Product leaders to discuss our company culture (60 min)
Wherever you are based, you'll get 25 vacation days paid by Pennylane
You'll have a competitive compensation package
You'll get company shares to enjoy a piece of the success story you're building with us
You'll have a budget to turn your home into a more comfortable workspace, as well as a monthly allowance to work from a coworking space whenever you feel like it
Through our partner Gymlib, you'll have access to 8,000 fitness spaces in Europe and more than 300 wellness activities
You'll have access to Busuu to perfect your English or your French
You'll get the latest Apple equipment
Depending on the team and the requirements of the position, you'll be able to work remotely from your country of residence, as long as it is in Europe and within a maximum time difference of two hours from the CET time zone
We regularly come together for company events such as Tech Days (which bring remote Pennylaners together every 2 months) and our annual company seminar
If you are based in France, you'll have a French contract following French regulation, on top of the additional perks: 6 to 12 RTT, 5 weeks of PTO, lunch credits (Swile), Alan Blue healthcare cover, and regular events in cities where Pennylaners are mostly present (Lyon, Bordeaux, Nantes…).
We're working on providing those last advantages to people based outside of France as well, though it can be more complex depending on the country.
Recruitment scam attempts are on the rise. We invite you to remain vigilant during your exchanges.
Applications through official channels only: apply exclusively through our job postings published on our official platforms (career site, official partner pages).
Always verify the sender's email address: our communications are sent from professional email addresses with the domains @pennylane.com or @pennylane-partners.com.
We will never ask you for payment or financial information (bank details, payment for an interview, equipment purchases, etc.) as part of the recruitment process. If such a request is made to you, it is fraudulent — please do not respond and report it to us immediately.
We fully embrace diversity, equity and inclusion, and we're committed to providing equal employment opportunity regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are.
Données personnelles
Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : [email protected].
Notre data policy
Personal Data
Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to [email protected]. Learn more
Personenbezogene Daten
Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an [email protected] schreiben. Mehr erfahren
