Lead AI Engineer – Fintech (H/F)

- Role Overview

As a Lead AI Engineer, you will play a key role in designing and integrating AI systems at the core of the product.

You will work across the full data lifecycle — from ingesting complex financial data (reports, filings, public datasets) to building intelligent features directly embedded into the platform.

This role is ideal for a senior profile looking to have a high impact on AI strategy, with strong exposure to both product and business challenges 🚀

- Key Responsibilities

• Design and build data ingestion and structuring systems (scraping, PDF parsing, financial datasets)

• Develop data processing and enrichment pipelines (feature engineering, scoring, classification, information extraction)

• Transform complex datasets into actionable product signals (analytics, benchmarking, decision-support tools)

• Build and integrate AI-powered product features (copilots, intelligent exploration, smart interfaces)

• Define hybrid approaches combining machine learning, business rules, and LLMs

• Implement evaluation, monitoring, and continuous improvement frameworks

• Collaborate closely with data, product, and engineering teams

• Continuously explore and test new AI approaches (LLMs, RAG, agents…)

• Contribute to architectural decisions and AI strategy

• Mentor and support team members on AI topics

- Candidate Profile

Must-have

• 5+ years of experience in AI, Machine Learning, or Software Engineering

• Proven experience deploying AI/ML systems in production

• Strong proficiency in Python 🐍

• Experience working with complex and unstructured data (NLP, documents, scraping…)

• Solid skills in feature engineering and data processing

• Ability to design robust, product-oriented systems

• Strong autonomy, analytical mindset, and results-driven attitude

• Excellent communication and collaboration skills

➕ Nice-to-have

• Experience with LLMs, RAG, or conversational systems

• Background in fintech or data-intensive environments

• Familiarity with cloud platforms (AWS, GCP, Azure)

• Experience with MLOps, data quality, or monitoring

• Previous experience in startups or fast-paced environments

- Practical Information

• 📍 Location: Paris

• 🏢 Work setup: Hybrid (3–4 days/week in the office)

• 📅 Start date: ASAP

• 📄 Contract: Permanent (CDI equivalent)

- Compensation & Benefits

• 💰 Salary: Depending on experience ( + stock options )

• 🚀 High-impact role with strong ownership on AI strategy

• 🧠 Cutting-edge technical environment

• 📈 Fast-growing startup environment