Senior Backend Engineer

LearnWise AI; Barcelona; On-site; EUR 75,000 - 110,000; Full time

Job summary

LearnWise AI is hiring a senior backend engineer who builds features that extend our products and tackles the hard platform problems behind them: integrations with systems we don't control, authentication and authorization in a multi-tenant product, and services that run in five regions. You design the solution, write it down, ship it safely, and stay with it in production.

This is a backend role close to AI product surfaces, not an AI/ML research role.

Qualifications

• 6+ years as a software engineer building and running production backend services.
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Responsibilities

• Build new product features from design to production rollout, with Product and Design.
• Integrate LMS/CRM/SIS data through a reusable integration framework, including writebacks.
• Evolve multi-tenant platform with organization hierarchies and RBAC.
• Scale infrastructure to handle 10x traffic spikes across regions (EU, US, CA, AU, UK).
• Occasionally lead technical initiatives and coordinate 2-3 engineers.

Skills

Backend engineering

Production systems

Python

TypeScript/Node

LMS/CRM/SIS integrations

English communication

Technical leadership

Tools

Python

FastAPI

MongoDB

AWS

Docker

GitHub Actions

Job description

LearnWise AI is an AI-first scale-up building virtual assistants, instructor efficiency tools, and student engagement solutions for universities and colleges. We're a small team moving fast: the best idea wins no matter who says it, and every hire owns real scope from day one.

About LearnWise

LearnWise AI is an AI-first scale-up building virtual assistants, instructor efficiency tools, and student engagement solutions for universities and colleges. We're a small team moving fast: the best idea wins no matter who says it, and every hire owns real scope from day one.

About the role

We are hiring a senior backend engineer who builds new features that extend our products and owns the hard platform problems behind them: integrations with systems we don't control, authentication and authorization in a multi-tenant product, and services that run in five regions. You design the solution, write it down, ship it safely, and stay with it in production. This is a backend role close to AI product surfaces, not an AI/ML research role.

What you'll do

Build new product features

• Extend our existing products with new capabilities, from design and data model to API and production rollout, together with Product and Design.

Integrate institutional systems

• LMS, CRM (e.g. Microsoft Dynamics) and SIS data through a reusable integration framework, including writeback.

Evolve the multi-tenant platform

• Organization hierarchies, granular role-based permissions, shared organization-level resources, and safe customization inside the LMS.

Scale efficiently across regions and peaks

• Keep data and monitoring in-region across EU, US, CA, AU and UK, prepare for 10x term-start traffic spikes, and cut infrastructure and AI costs.

Lead new initiatives

• Occasionally take technical leadership of a new initiative, coordinating the work of 2-3 engineers.

What you bring

• 6+ years as a software engineer building and running production backend services.
• Production experience in more than one backend language (e.g., Python, PHP, Go, Java, TypeScript/Node, C#).
• Working Python knowledge and interest in learning async Python.
• Hands-on system integrations: third-party APIs, OAuth flows, webhooks, data sync, retries, and rate limits.
• Production ownership: logs, metrics, tracing, alerts; you debug live issues across services and third parties.
• Clear, direct written and spoken English; you raise blockers early.
• Daily use of AI coding tools, e.g., Codex or Claude, and you verify what they produce.
• Architecture design of services, data models, and service boundaries that others built on.
• Technical leadership: led development of a system across at least 2-3 engineers.

Nice to have

• Our stack: Python, FastAPI, MongoDB, AWS, Docker, GitHub Actions.
• LMS integrations: LTI 1.3, Canvas, Brightspace, Blackboard, Moodle.
• Data residency and multi-region systems (GDPR, FERPA).
• Laravel/PHP experience.
• Exposure to LLM-powered products, agents, or tool-calling.
• Authentication and authorization in practice: SSO, OAuth/OIDC, JWTs, RBAC, multi-tenant access control.