AI Platform Engineer

Permanent contract
Paris
Salary: €60K to 120K
A few days at home
Experience: > 3 years
Education: Master's Degree

Payflows
Payflows

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The position

Job description

🌍 Our Vision & Mission
At Payflows, we give finance teams the tools to reclaim their time and energy. Our platform weaves together banking connectivity, payments, AI, and procurement so they can ditch the busywork and focus on what really moves the needle.

🤝 Why Join Us ?
We’re a small, mighty team who’ve earned our stripes at Airbnb, Luko, BNP Paribas, and Facebook. It’s not always easy—things move fast, and we expect a lot—but if you’re hungry for impact, you’ll find it here.

🏆 Why This Role Matters ?

Our AI agents tackle multiple domains:

  • Accounting Review Agent: Extracts data from invoices, matches with POs, updates ERPs.

  • Support & Copilot Agent: Answers product questions, ingests docs for Q&A, does text-to-SQL for reporting, and builds visuals.

  • Banking Reconciliation Agent: Syncs bank transactions with accounting records.

  • Short-Term Liquidity Agent: Automates fund transfers to keep accounts topped up and optimally invested.

Despite the complex finance problems, our goal is to deliver clear, intuitive solutions. That’s where you come in as our AI Platform Engineer—you’ll build tools and systems that reduce complexity and make launching new AI agents seamless

🛠 What You’ll Do ?

  1. Industrialize Existing Agents

    • Implement monitoring, logging, and real-time feedback loops to continuously improve performance.

    • Attack latency and reliability issues, ensuring a smooth user experience.

  2. Platform & Tooling

    • Develop frameworks that empower Payflowers to build and deploy new AI agents without wrestling with complexity.

    • Create self-service tools for data ingestion, model training, and deployment.

  3. Applied Research & ML Innovation

    • Stay ahead of the curve on LLMs, NLP, and generative AI—experiment with cutting-edge architectures to push our agents beyond current limits.

    • Convert research prototypes into production-ready solutions.

  4. Collaboration & Mentoring

    • Work closely with backend engineers, product leads, and data experts to streamline solutions that blend usability with scalability.

Preferred experience

You’ll Thrive Here If…

  • You’re a Builder at Heart: You love crafting simplified solutions, especially when faced with complex problems.

  • You Embrace & Tame Complexity: Big challenges don’t scare you; you break them down methodically and innovate.

  • You’re a Continuous Learner: The AI field moves fast, and you’re excited to stay at the cutting edge.

  • You Own What You Build: We give autonomy and expect accountability—freedom to experiment, responsibility to deliver.

🔎 What We’re Looking For

  • Proven ML/AI Experience: You’ve launched ML/AI projects into production in data-heavy settings.

  • Strong Coding & Architecture Skills: Versatile in Python, designing microservices, and scalable data pipelines.

  • Infrastructure Savvy: Experience with AWS, Docker, CI/CD. Extra points for serverless or event-driven architectures.

  • Analytical Mindset: Skilled at monitoring and logging to continuously refine models and pipelines.

  • Team Player: Clear communication, thorough code reviews, and a knack for making complex things look simple.

💻 Tech Stack:

  • Backend: Python / Flask / SQLAlchemy / Rust

  • Frontend: Typescript / Vue3 / Amplify

  • Data: PostgreSQL / DynamoDB / S3

  • Infra: AWS / Serverless / Docker / Airflow / Databricks

  • Tooling: Git / GitLab / Sentry

🎁 Perks & Benefits:

  • 🏡 Remote-Friendly: 2 days/week remote + 1 full remote week every 6 weeks

  • 💰 Competitive Salary & Equity

  • 📚 Growth & Exposure: Meetups, hackathons, conferences

  • 🌈 Team Vibe: Radical candor, team spirit, and the freedom to try, fail, learn, and improve


Recruitment process

  • Screening Interview

  • Online coding Interview (CodinGame)

  • Live Coding Interview (medium to difficult)

  • System Design Interview

  • Product fit Interview

  • Fit interview

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