Job Description

The Role

We are seeking a Senior Backend Engineer (Python Platform) to own and evolve the backend foundation of AI-driven healthcare and contact center platforms. This is a hands-on engineering role focused on designing and building scalable APIs, backend services, and data systems that power production-grade AI-enabled applications. You will work closely with product, frontend, and data teams to deliver reliable, secure, and scalable backend capabilities while helping define backend architecture, engineering standards, and operational best practices. This role goes beyond feature delivery you will contribute to long-term platform strategy, mentor engineers, and help shape systems that support retrieval-based and agent-driven workflows. The ideal candidate is experienced in distributed backend systems, graph-based data platforms, cloud-native infrastructure, and production observability, with strong ownership and architectural decision-making capabilities.

Key Responsibilities

• Design and build scalable Python services and APIs (REST/GraphQL) for our core product.
• Define and evolve a resilient backend architecture that can grow with the product.
• Own database schema design, data modeling, and performance tuning (SQL and ORMs).
• Design and operate knowledge-graph powered services, including graph data modeling and query performance.
• Implement observability (logging, metrics, tracing) and operational runbooks.
• Collaborate closely with frontend, data, and product to define contracts and deliverables.
• Secure the platform (authn/z, secrets, rate limiting, data protection).
• Mentor engineers on backend best practices and code quality.

Required Skills

• Extensive production experience building backend systems in Python.
• Hands-on experience with knowledge graphs and graph data stores (e.g., Neo4j, Neptune, ArangoDB), including schema/ontology design and query optimization.
• Strong SQL experience and familiarity with ORMs (SQLAlchemy, Django ORM, etc.).
• Experience designing APIs and distributed systems with reliability and performance in mind.
• Solid understanding of cloud infrastructure (AWS/GCP/Azure), containers, and IaC.
• Experience with monitoring/observability stacks (e.g., OpenTelemetry, Prometheus, Grafana).
• Ability to decompose problems, communicate tradeoffs, and drive projects end-to-end.

Nice to Have

• TypeScript knowledge and ease collaborating across TypeScript or Go services.
• Experience with agentic workflows, including RAG systems (retrieval pipelines, vector stores, embeddings), agent orchestration, and tool/function calling in production.
• Familiarity with event-driven architectures, queues/streams (Kafka/SQS/PubSub).
• Background with security and compliance basics (OWASP, SOC2 practices).
• Exposure to data/analytics workflows or ML-adjacent services.

What We Offer

• Opportunity to build core backend systems powering AI-enabled healthcare platforms
• Collaborative engineering culture with strong technical ownership
• Exposure to modern backend, graph, and AI-adjacent architectures
• Flexible project-based engagement with high-impact engineering work

Location

• Candidates must be located in Mexico City or Guadalajara, Mexico