AI-Driven Backend Engineer for ML-Powered Products

Spendesk; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Flexible on-site and remote policy

Latest Apple equipment

Moka.care

Great office snacks

Positive team to work with daily

Résumé du poste

Spendesk is seeking a Backend Software Engineer (IC3) to join the AI & Data Products squad. You will design, build and operate backend services powering AI-native features, translating ML outputs into reliable APIs and workflows for end users.

You will collaborate with ML Engineers and Product teams to productionize predictive logic, implement robust observability, and ensure scalable, secure systems within Spendesk’s spend management platform.

Qualifications

• Significant experience on backend software engineering in production environments.
• Strong track record of designing and shipping reliable backend services with measurable user or business impact.
• Experience contributing to complex product initiatives in fast-paced, cross-functional teams.
• Exposure to ML-enabled or AI-enabled product features is a strong plus.

Responsabilités

• Design, build, and operate backend services powering AI-native features.
• Productionize predictive models and LLM-driven capabilities with robust APIs.
• Ensure latency, reliability and security with observable, maintainable services.
• Collaborate with ML Engineers, Product Managers and Designers to deliver end-to-end AI-powered capabilities.

Connaissances

TypeScript

Node.js

APIs design

Distributed systems

Observability

ML integration

Backend reliability

Outils

Kafka

SQS

Step Functions

PostgreSQL

Description du poste

Spendesk is seeking a Backend Software Engineer (IC3) to join the AI & Data Products squad. You will design, build and operate backend services powering AI-native features, translating ML outputs into reliable APIs and workflows for end users.

You will collaborate with ML Engineers and Product teams to productionize predictive logic, implement robust observability, and ensure scalable, secure systems within Spendesk’s spend management platform.