AI Platform Engineer

Full Time Role in Mexico

Remote

We are seeking an
AI Platform Engineer
to lead the deployment, management, and operational scaling of our enterprise generative AI ecosystem. You will serve as the technical backbone connecting frontier model platforms (Google Gemini Enterprise, Anthropic Claude) with our internal developers, security, and product infrastructure.

Key Responsibilities
- Platform Rollout & Integration:
Lead the design, setup, and deployment of enterprise AI platforms (
Gemini Enterprise
and
Claude
via GCP/AWS API environments).
- Enterprise Operations & Reliability:
Manage end-to-end platform stability, token routing, rate limits, latency optimization, and infrastructure monitoring (SLAs/SLOs).
- Security, Governance & Cost Control:
Implement robust IAM controls, data loss prevention (DLP), compliance boundaries, and fine-grained cost management/budget tracking across tenant teams.
- Developer Tooling & Enablement:
Build SDKs, API gateways, guardrail middleware,



and developer self-service workflows to accelerate AI integration across internal teams.

Required Qualifications
- Experience:
3+ years in Cloud/Platform Infrastructure (GCP, AWS) with direct experience operationalizing LLM applications or APIs at scale.
- Core Technical Skills:
- Proficiency in Python, Go, or TypeScript for middleware and gateway development.
- Hands-on experience with cloud-native tooling (Terraform, Kubernetes, Docker, Serverless).
- Familiarity with enterprise AI API integration (Google Vertex AI / Gemini Enterprise, Anthropic Claude via Bedrock or API).
- Security & Observability:
Understanding of enterprise identity (SSO, OAuth), data privacy standards, and observability tools (Datadog, or native GCP/AWS monitoring).

Preferred Qualifications
- Experience building or managing Enterprise GenAI Gateways (e.g., LiteLLM, custom proxy layer, or LangChain/LlamaIndex enterprise setups).
- Background in FINOps, specifically managing variable API consumpti

📌 Full Time Role (México)
🏢 XChange Software
📍 México