Founding Backend Engineer for Real-Time AI Platform

Ingefor; Barcelona; Presencial; EUR 120.000 - 180.000; Jornada completa

Descripción de la vacante

Ingefor is seeking a founding Senior BackEnd Engineer to design, build, and own the backend and systems architecture. You will shape a core platform powering AI assistants used by millions across international portfolios.

You’ll own the backend, APIs, microservices, data flows, real-time orchestration, and ML integrations end-to-end, ensuring performance, security, and scalability as we expand.

Formación

• 5+ years building backend systems at scale.
• Strong expertise in Python (FastAPI or Django), SQL (Postgres/MySQL), and REST/GraphQL APIs.
• Experience with microservices and Cloud Run.
• Experience integrating external APIs (OAuth, webhooks).
• Familiarity with LLM integrations, retrieval pipelines, or vector DBs (Qdrant).

Responsabilidades

• Build scalable APIs, workers, queues, and real-time systems on GCP + Cloud Run + Cloud SQL.
• Implement integrations with CRMs, CMSs, booking systems, loyalty platforms, and external APIs.
• Develop backend support for AI agents: retrieval APIs, embeddings, vector DB, inference services.
• Build and maintain event pipelines for analytics, ML, and product insights.
• Ensure system security, observability, monitoring, logging, and CI/CD best practices.
• Collaborate with Product & AI teams to define technical architecture and implement new features quickly.
• Own migrations, deployments, environments, CI/CD, and platform reliability.

Conocimientos

Python

FastAPI

Django

SQL

REST APIs

GraphQL

TypeScript

Cloud Run

Kubernetes

Microservices

API integration

LLM integrations

Vector DB

Qdrant

Herramientas

Pub/Sub

Cloud SQL

Descripción del empleo

Ingefor is seeking a founding Senior BackEnd Engineer to design, build, and own the backend and systems architecture. You will shape a core platform powering AI assistants used by millions across international portfolios.

You’ll own the backend, APIs, microservices, data flows, real-time orchestration, and ML integrations end-to-end, ensuring performance, security, and scalability as we expand.