Backend Developer – Laravel / PostgreSQL / AWS
Summary
Build and own the backend architecture for real-time AI assistants used in malls, airports, and stadiums, using Python, Django, and cloud services.
We’re hiring a Founding Senior BackEnd Engineer — someone who wants to design, build and own the entire backend and systems architecture.
Es esencial asegurarse de que cumple con los requisitos como solicitante para este puesto; por favor, lea atentamente la información a continuación.
This is not a maintenance role. It’s a founding role, with high phantom-share compensation, where you will shape the core platform that powers real-time AI assistants used by millions of visitors across malls, airports, stadiums and resorts.
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 across international portfolios.
This role sits at the intersection of AI, product engineering, infrastructure, data architecture, and ML operations.
- 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.
Python
SQL
API rest
Django
TypeScript
Technical
- 5+ years building backend systems at scale.
- Strong expertise in Python (FastAPI o Django), SQL (Postgres/MySQL), and REST/GraphQL APIs.
- Experience with microservices and Cloud Run. (Kubernetes, Pub/Sub, queues, caching removed as requested)
- Experience integrating external APIs (OAuth, webhooks). xqbhyrx
- Familiarity with LLM integrations, retrieval pipelines, or vector DBs (Qdrant) is a plus.