Agicap
5 days ago
AI Software Engineer (AI Lab)
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Company information
- Company
- Agicap
- Location
- Lyon π«π· Germany
- Posted
- 5 days ago
Job description
About Agicap
Founded in Lyon in 2016 by three French entrepreneurs, Agicap is one of Europe's fastest-growing scale-ups, with over 8,000 clients, 600 employees, and rapid revenue growth (multiplied by 7 between 2021 and 2024). Agicap is part of the French Tech 120, which recognizes the most promising startups in France.
Agicap enables medium-sized companies' finance departments to effectively manage and forecast their cash flow, pay their suppliers, and get paid. By combining a cash management system with accounts payable and accounts receivable management solutions on a single platform, Agicap aims to become the new standard in cash management for medium-sized businesses.
We have raised β¬145 million since our inception from prestigious venture capital funds such as AVP, Greenoaks, Partech, and BlackFin, with a latest round in November 2024.
These additional resources further fuel our product innovation, allowing us to grow significantly and accelerate our international expansion across the globe.
We are convinced that our success lies in our passionate and dedicated teams, committed to building a company where everyone can grow and build their career. We are constantly looking for new talent, aiming for excellence and ready to join our ambitious adventure!
Agicap is becoming an AI-first company. We are training all our employees to work with AI and to automate parts of their tasks themselves. Some projects are too long, too cross-functional, or too technical to be handled by a business team alone.
This is the role of the AI Lab.
It is the pivot team that builds the internal tools that change the way Agicap works on a daily basis. Our compass: rapid operational impact, short iterations, 360Β° work with all teams (Sales, CS, Finance, Product, Marketing, Data, C-level).
This is a new position: AI acceleration is changing our processes and our way of working. We need senior reinforcement to support this transition and embed it into practices that will stand the test of time.
- 3 people, including you: a junior AI engineer, a part-time Tech Lead (who will be your manager), a Product Manager.
- Your role: bring the technical perspective that is currently missing in the team (infra, architecture, maintainability, scalability) β build fast, but without creating debt for the future.
- You will interact directly with all Agicap business teams: this is a very cross-functional, very exposed position.
β‘οΈ Responsibilities:
You will alternate between rapid scoping, building, and iteration:
- Understand the business team's needs directly, scope what has a real impact versus what is just for convenience, and prioritize.
- Build internal tools end-to-end: scoping β development β production β iteration with users.
- Evolve the common AI platform: MCP servers, integrations, cross-functional tooling made available to the entire company.
- Make technical decisions that structure the Lab: infra, stack choices, architecture. There is no heavy existing system to conform to; you are building for scale.
- Elevate the team's technical level: mentoring the junior AI Engineer, sharing best practices, providing useful code reviews.
- Proactively identify processes where AI offers a real gain β and build the solution.
- Product feedback loop: build a system that digests all customer feedback logs (calls, RFPs, CS feedback) and produces prioritized recommendations for Product Managers. Currently, the data exists but we are not processing it.
- MCP infra project: make MCP servers connected to their daily tools available to Agicap employees, at scale.
Examples of projects in your first 6 months:
β‘οΈ How we work:
π Profile sought:
We are looking for a senior profile with Tech Lead experience β someone who has already made impactful decisions, driven demanding technical projects, and actively explored the AI landscape:
- Minimum ~4-5 years of experience in development, on projects actually put into production.
- Tech Lead experience or equivalent: you have already driven architecture and infra decisions, you know how to balance velocity and technical debt.
- Practical and recent experience with LLMs: you have tried things, pushed experiments, tested Claude / OpenAI / Mistral. You are a driver in these areas, not a follower.
- Python and TypeScript in your toolkit. The language matters less than your ability to choose the right tool for the right problem.
- Solid technical foundations: you master and understand what you are delivering.
- Ability to deliver quickly and prioritize what has real impact β Doer mode, not PowerPoint mode.
- Proactivity and curiosity: you identify opportunities that no one has formulated, you go and seek them out.
- Fluent professional English.
- Assumed autonomy: in a team of 3, you cannot hide.
β Stack and tooling
π What we offer
- A position with direct and visible impact in an AI-first company of 600 people.
- An ultra-responsible environment: autonomy, ownership, technical decisions at your level.
- Salary: β¬55K - β¬70K depending on expertise + SYNTEC holiday bonus.
- Permanent contract (CDI), hourly package, 39 hours including 4 paid overtime hours.
- 25 days of paid leave + 10 days of flexible leave (usable upon arrival).
- Full remote or hybrid (Lyon/Paris), visits to Lyon are not mandatory.
- Alan health insurance (family extension possible), Swile meal vouchers (β¬11/day, β¬6.50 covered).
- CSE benefits: annual gift card, Gymlib/EGYM wellpass, etc.
- ASAP start date.
β³ Recruitment process:
- Screening with the Talent Acquisition team β presentation of the role and fit validation (30-45 min).
- Two technical interviews with the AI Lab team (formats and topics communicated in advance).
Feedback within 24-48 hours at each stage. Fast, transparent process.
Required skills
- proactivity
- remote
- mentoring
- typescript
- ai
- python
- product management
- claude
- machine learning
- software engineer
- infrastructure
- architecture
- autonomy
- cash management
- scalability
- code review
- hybrid
- continuous delivery
- openai
- curiosity
- llms
- tech lead
- ownership
- technical debt
- maintainability
- mistral
- agicap
- scale-up
- french tech 120
- professional english
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