We are building a new Technical Services capability in Mexico to support a platform that helps customers build, deploy, and operate AI applications using MongoDB. This is an early hire on a growing team, and you will have the opportunity to help shape how we support customers, collaborate with Engineering and Product, and build the team’s technical practices from the start.

The platform brings together AI application workflows, orchestration, model and tool integrations, cloud infrastructure, data services, and observability. The support team will work across these layers to help customers troubleshoot complex issues and operate their applications successfully.

We are looking to speak to candidates who are based in Mexico City for our hybrid working model.

The role

As a Technical Services Engineer, you will help customers build, deploy, and operate AI applications on a new MongoDB platform. You will investigate issues across application behavior, agent workflows, APIs, cloud infrastructure, and data services,



while contributing to the broader MongoDB Technical Services organization as customer needs evolve.

This role is a strong fit for an engineer who enjoys learning new technologies, working directly with customers, and applying structured troubleshooting to complex systems.

What you need
- Supporting customers and internal stakeholders working with AI applications and agentic workflows
- Investigating issues involving LangGraph execution, MCP and tool integrations, model-provider behavior, memory, checkpoints, streaming, retries, and timeouts
- Reading and debugging Go, Typescript and Python services and agent implementations
- Troubleshooting Docker and Kubernetes workloads, including deployments, containers, networking, secrets, resource failures, and deployment configuration
- Using logs, metrics, traces, and application errors to form hypotheses and identify root causes
- Troubleshooting MongoDB Atlas connectivity, authentication, TLS, network access, i

📌 Technical Services Engineer (Ciudad de México)
🏢 MongoDB
📍 Ciudad de México