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Antoine CailleAC

Antoine Caille

AI Product Engineer

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

About Antoine

I'm an AI Product Engineer. I design LLM agents, build the products around them, and I also do full-stack and data work when that's what the project needs.

What I'm doing right now

At FuzzingLabs, I lead product and own the agentic layer of an offensive-security platform. Google ADK for agent orchestration, Cognee for memory and knowledge graphs, MCP and A2A for integrations, Python services over APIs, Next.js on the frontend, Kubernetes for deployment.

Before that: two years at Ekimetrics on marketing mix modeling for enterprise clients in banking, insurance, and QSR, then a short stint at LittleBigCode on a forecasting POC.

I also guest-lecture on LLM theory and architecture at engineering master's programs when the schedule allows.

What that means in practice

I've shipped production LLM agents, not just prototypes. I've sat in client rooms explaining models to people who don't code. I can own a feature from Postgres schema to the Next.js component, and I've done it often enough to not break things.

Missions I take

- LLM agents with real memory (Google ADK, Cognee), from design to prod
- RAG pipelines, including graph-RAG when your data calls for it
- MCP / A2A integrations into an existing stack
- Next.js frontends for AI products — streaming, real-time, state sync
- Full-stack feature work when you need an extra senior pair of hands
- Data analysis with real business output, not a 40-slide deck
- Technical scoping before you commit budget

Working with me

Full remote, French or English.
Send me your brief. I'll tell you if I'm the right person or not.
  • English

    Fluent

  • Spanish

    Conversational

  • French

    Native or bilingual

  • Chinese

    Basic

Remote only
Primarily works remotely

Experience

  • FuzzingLabs
    AI Product Engineer
    TECH
    March 2024 - Today (2 years and 3 months)
    • Own product direction and lead frontend engineering (Next.js, TypeScript) for a multi-agent offensive-security platform, from the core application to real-time agent-analysis interfaces.
    • Design the human-AI interface where security teams collaborate with autonomous agents, translating orchestrator-to-specialist delegation and multi-step reasoning into clean, trustable UX.
    • Build production AI agents on Google ADK with MCP tool integrations and A2A inter-agent protocols, wiring backend orchestration directly into the product surface.
    • Designed and shipped the public marketing site, positioning the product and its agentic use cases to the security market.
    • Previously built the platform's early infrastructure (RAG pipelines, Rust backend services, Docker/Kubernetes deployments) before moving full-time to product and agent development.
    AI Agent LLM Next.js Python RAG
  • LittleBigCode
    Data Scientist
    TECH
    December 2023 - March 2024 (3 months)
    Neuilly-sur-Seine, France
    • Built a sales-forecasting POC end-to-end using XGBoost, from training pipeline to interpretability analysis, surfacing the key drivers behind sales variation.
    • Contributed to an RFP response on data transformation, translating business needs into technical scoping and a concrete analytical approach.
    Python Data science Machine learning Data visualization
  • Ekimetrics
    Data Scientist Consultant
    CONSULTING AND AUDITS
    February 2022 - November 2023 (1 year and 9 months)
    Paris, France
    • Built ML models (Marketing Mix Modeling, clustering) for 4 enterprise clients across banking, insurance, and QSR, to guide their marketing-investment decisions.
    • Built Databricks pipelines on Azure Data Lake to process large client datasets for modeling and reporting.
    • Conducted exploratory and ad-hoc data analyses on client marketing and sales data (Python, pandas, Tableau), informing both model design and client recommendations.
    • Mentored a junior consultant and presented findings directly to client stakeholders, translating technical output into business recommendations.
    Marketing Machine learning Data visualization Business intelligence Databricks

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Education

  • Engineer's degree
    EPITA: Ecole d'Ingénieurs en Informatique
    2022
    Engineer's degree - Major in AI & Data Science

Skill set

Categories