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Senior Backend Engineer (Agentic AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Backend Engineer (Python/AI): Building the backbone of intelligent finance systems to automate global financial operations with an accent on scalable services, resilient APIs, and data models. Focus on designing distributed event-driven systems and productionizing AI-native financial stacks.

Location: Based in San Francisco

Company

Airwallex is a unified payments and financial platform for global businesses, empowering over 200,000 companies worldwide with integrated financial solutions.

What you will do

  • Design and operate distributed, event-driven systems that process high-volume, high-sensitivity financial data.
  • Build production-grade APIs and services using Python, FastAPI, and Pydantic to power agentic workflows and AI copilots.
  • Own end-to-end data architecture, including schema design, event models, and ledger primitives.
  • Develop resilient infrastructure primitives such as queues, retries, idempotency, and observability.
  • Partner with ML and product teams to productionize research-grade ideas into customer-facing systems.
  • Define the architecture of an AI-native financial stack where AI is treated as a first-class runtime.

Requirements

  • 5+ years of backend experience with Python at scale.
  • Must be based in San Francisco.
  • Deep knowledge of SQL/NoSQL database design.
  • Experience with distributed systems, event-driven architectures, or microservices.
  • Familiarity with GCP services such as Pub/Sub, Cloud Run, Cloud SQL, and BigQuery.
  • Strong grasp of security and compliance best practices.

Culture & Benefits

  • Opportunity to solve unprecedented technical challenges using unique financial datasets.
  • Environment that values founder-like energy, true ownership, and accelerated learning.
  • Collaborative culture that blends deep research pedigree with proven industry experience.
  • Focus on building platform foundations and internal frameworks rather than one-off features.

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