Staff AI Engineer: Ship Production Agentic AI Workflows

Qonto; Paris; Remoto; EUR 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Qonto is hiring a Staff Applied AI Engineer to build production AI systems and automated workflows within the Financial Crime Compliance domain. You will lead end-to-end projects, design robust backends, and establish measurable AI governance in a regulated fintech environment.

You’ll work with a cross-functional AFC team to ship agentic tooling, orchestrate models and tools, and ensure reliability, observability, and quality in production.

Competenze

• Production AI experience: shipped AI agents or agentic workflows used by real users and explained orchestration, tools, state, outputs, retries, and failure modes.
• Strong backend engineering: solid system-design fundamentals across architecture, APIs, databases, integrations, reliability, observability, maintainability, and scalability.
• Staff-level autonomy and judgement: make sound decisions independently, communicate trade-offs clearly, and know when to optimize for speed vs. quality.
• Product and stakeholder thinking: turn ambiguous operational pain into a valuable solution without relying on a PM.
• End-to-end ownership: discover, build, ship, operate, maintain, and improve the systems you create.
• Learning agility: curious about AFC and regulated workflows; fintech/compliance helpful but not required.
• Pragmatic technology choices: Python plus familiarity with model providers or agent frameworks; production principles matter more than vendor knowledge

Mansioni

• Build production AI systems: design and ship agentic tools and AI-powered workflows that gather context from multiple internal systems, orchestrate models and tools, parse structured outputs, and handle uncertainty and failure safely.
• Own projects end to end: lead discovery with AFC stakeholders, shape the solution, make architectural decisions, implement and launch it, then operate, maintain, and improve it in production.
• Design robust backend foundations: build reliable services, APIs, databases, and integrations around evolving AI models and tooling.
• Make AI behaviour measurable: define evaluation, observability, fallbacks, and human-review mechanisms; monitor output quality and operational impact.
• Deliver measurable operational value: reduce investigation lead time and expand automation across AFC workflows through incremental delivery.
• Shape the team's technical direction: lead design discussions, anticipate risks, balance speed with quality, raise the team's production capability.

Conoscenze

Production AI

Backend engineering

Autonomy & judgement

Product thinking

End-to-end ownership

Learning agility

Pragmatic tech choices

Strumenti

Python

Agent frameworks

Descrizione del lavoro

Qonto is hiring a Staff Applied AI Engineer to build production AI systems and automated workflows within the Financial Crime Compliance domain. You will lead end-to-end projects, design robust backends, and establish measurable AI governance in a regulated fintech environment.

You’ll work with a cross-functional AFC team to ship agentic tooling, orchestrate models and tools, and ensure reliability, observability, and quality in production.