Senior/Staff Backend Engineer (AI Compliance Tooling)

TL;DR

Senior/Staff Backend Engineer (AI Compliance Tooling) (AI Compliance Tooling): Build AI-integrated backend systems that connect Claude/OpenAI (or open-source equivalents) to financial crime compliance workflows, with an accent on production-grade prompting, output parsing, and reliable model behavior in a regulated environment. Focus on end-to-end service architecture, automating AML/AFC operations, and driving continuous improvement through monitoring and post-mortems.

Company

hirify.global builds a finance workspace for SMEs with banking at its core, augmented by financial tools.

What you will do

• Design and ship production-grade backend services that integrate AI models (Claude, OpenAI, or open-source equivalents) into compliance workflows, including prompting, output parsing, and model behavior handling.
• Own service architecture end-to-end, covering reliability and scalability from day one.
• Automate AML/AFC compliance operations by translating compliance agent workflows into software (e.g., EDD automation and onboarding acceleration) with feedback from ops teams.
• Drive continuous improvement via production monitoring, regression flagging, and post-mortems.
• Shape the technical direction in a small team (architectural ownership and leading design discussions).

Requirements

• Location: full remote-friendly in France, Germany, Spain, or Italy
• Experience shipping systems where AI is a core functional component in production (Claude/OpenAI or open-source equivalents).
• Strong backend foundation with large-scale web application architecture and real production constraints; ideally Python experience.
• Ability to make independent architectural decisions and clearly articulate trade-offs.
• Comfort owning the full delivery cycle (scoping, prioritizing, shipping, and success metrics) without a dedicated PM layer.

Culture & Benefits

• Lean execution with short time-boxes and daily goals; most time spent building rather than in planning meetings.
• AI is treated as the product, with expectations to ensure reliable production behavior (not just use AI as a coding assistant).
• Direct roadmap ownership: priorities defined by engineers in the team.
• Close feedback loop with AML/AFC ops teams, using metrics like lead time reduction, prediction confidence, and agent throughput.

Hiring process

• Hiring process lasts 20 working days.
• Interviews and evaluation steps follow hirify.global’s candidate journey.