AI Engineers (Python backend developers) - build the world's first conversational private bank

Our client is the world’s first conversational private bank.
They are building the smartest interface between customers and their money, providing the "unfair financial advantage" usually reserved for the ultra-wealthy.

Founded in January 2026 and backed by top European VCs, they are assembling a world-class team to deliver an AI-native banking experience built on transparency, simplicity, and trust.

Youmanista is recruiting several AI engineers (Python) from Junior (2/3 years experience) to Senior roles (+6 years) for this early-stage company.

🧠 Your Mission
You will join a fast-moving team to build the AI brain behind the app. Everything you build will directly shape how customers interact with their finances.

🛠 Key Responsibilities

• Production systems → Design, build, and operate the backend services that power app's AI capabilities: agents orchestration, conversation context, knowledge retrieval, memory management, etc.
• Service integration → Expose ML capabilities as robust, well-documented APIs consumable by the rest of the platform. Bridge the gap between ML prototypes and production-grade services.
• Data infrastructure → Build and maintain the ETL pipelines that feed app’s ML systems: ingestion, transformation, synchronization, versioning, and quality assurance from both
  external and internal data sources.
• ML tooling → Develop the tools that enable the ML team to move fast: experiment platform, model serving, evaluation harnesses, reproducible training pipelines, etc.
• Collaboration → Work hand-in-hand with the ML team to productionize their work, and coordinate with the broader engineering teams (infra, backend) to ship it reliably. Translate research outputs into observable, maintainable systems ready for production.
• Hiring → Help grow the team by interviewing candidates and shaping the technical assessment process.

🎓 Skills & Knowledge
Must Have: ✅

• Expert-level proficiency with AI coding tools, both assistive and agentic (Claude Code, Copilot, Cursor, or equivalent). You leverage them aggressively but never blindly.
• Strong Python skills with production backend engineering experience.
• Experience building and operating data pipelines: ingestion, transformation, scheduling, monitoring, and failure recovery.
• Solid understanding of distributed systems fundamentals: service communication, event-driven architectures, consistency tradeoffs, and resilience patterns.
• Good understanding of machine learning concepts and LLM-based systems.
• Hands-on experience with LLM frameworks (ex: LangChain, LlamaIndex, Ragas, etc.) and prompt engineering.
• Familiarity with ML serving patterns: model deployment, feature stores, batch vs. real-time inference.
• Familiar with containerized and cloud-native environments, you don't manage the infrastructure, but you understand how your code runs in it.
• High standards for code quality, testing, observability, and operational excellence.

Nice to Have: ✨

• Experience with SQL databases, vector databases, graph databases or search infrastructure.
• Experience with monorepo tooling and hermetic build systems (ex: Bazel).
• Ability to read and navigate Go codebases.
• Prior experience in a regulated industry (ex: finance, healthcare, legal, etc.).

👤 About You

For the job:

• 2+ years (for mid) and 6+ years (for Senior) of professional experience in backend/data/ML/AI engineering, with a track record of building and operating production systems.
• You drive technical decisions, set the bar for quality, and help others reach it.
• You care about the whole lifecycle, not just writing code, but making sure it runs, scales, and is easy to debug.
• Thrive in early-stage environments where scope is broad, ambiguity is high, and ownership is real.
• Hungry for a real challenge: you're not looking for a comfortable seat, you want to build something that doesn't exist yet.
• Solid communication skills in English; French is a big plus but not required.

For the project:

• Frustrated by how traditional finance serves its customers, and motivated to break the mold to create something genuinely better for our users.
• Genuinely excited about building the infrastructure that makes trustworthy AI possible in financial services.

📋 Interview Process
We aim to complete this within 2 weeks.
1. Discovery Call (30 min): Background, motivations…
2. Technical Deep-dive (1 hr): Production systems, data, and AI engineering.
3. On-site Pairing (2 hrs): Work with the team on a real-world problem.
4. Culture Fit: Coffee, lunch, or a drink to get to know the team.

🎁 Contract & Perks
• Contract: Full-time permanent (CDI).
• Salary: Starting from 70k+ euros (depending on experience) + BSPCE stock options.
• Remote: 3/5 days in our Paris office + 3 weeks per year full remote.
• Hardware: Best-in-class laptop + Unlimited Claude AI plan.
• Benefits: 100% covered health insurance & 100% Navigo pass coverage.