AI Platform Engineer | Canada (Remote- PST hours)

Momento USA is a global technology consulting, talent acquisition and creative development firm that addresses clients most pressing needs and challenges. 

We have an open AI Platform Engineer opportunity with our client based in Canada (Remote- PST hours) Please review the job description below and let me know if you are interested.

Role: AI Platform Engineer 
Location: Canada (Remote- PST hours)
Duration: Long Term

Role Overview
We are looking for an experienced AI Observability & Platform Engineer to build and operate the observability, reliability, governance, and platform capabilities supporting enterprise GenAI and agentic applications.

Key Responsibilities

• Build and operate observability for LLM gateways, model routing, MCP servers, agent runtimes, and AI platform services.
• Implement end-to-end telemetry using OpenTelemetry, Langfuse, metrics, logs, and distributed tracing.
• Monitor and analyze LLM/agent latency, errors, token usage, model performance, quality, evaluation results, and production behavior.
• Develop dashboards, alerts, and reporting for AI reliability, performance, quality, and operational health.
• Build AI cost and usage observability, including attribution by application, team, user, model, workflow, and environment across providers such as OpenAI, Anthropic, and Gemini.
• Establish observability and evaluation standards for LLM and agentic applications, including traces, prompts, responses, tool calls, evaluations, and regression signals.
• Support AI evaluation and monitoring through golden datasets, scoring, prompt/model comparisons, and production quality checks.
• Operate AI platform services on Kubernetes using Helm, Kustomize, GitOps, autoscaling, and progressive/zero-downtime deployments.
• Implement platform security, access control, secrets management, PII protection, guardrails, and audit logging.
• Enable observability across MCP, LangChain, LangGraph, CrewAI, Google ADK, and other agent frameworks.
• Build self-service capabilities, templates, and automation that allow development teams to onboard AI applications and agents efficiently.
• Partner with engineering teams to turn observability insights into platform improvements, reliability enhancements, and cost optimization.

Key Skills

• AI/LLM Observability: Langfuse, OpenTelemetry, LLM tracing, AI evaluation
• AI Platforms: LLM gateways, model routing, MCP, agentic AI
• Cloud/Platform: Kubernetes, Helm, Kustomize, GitOps, APIs
• Monitoring: Prometheus, Grafana, Datadog or similar platforms
• AI/ML: OpenAI, Anthropic, Gemini, LangChain, LangGraph, CrewAI, Google ADK
• Engineering: Python/Java/Go, REST APIs, CI/CD
• Security: OAuth2/OIDC, JWT, RBAC, secrets management, PII/AI guardrails

Yousuf M

Technical Recruiter.

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