Senior AI Platform Engineer

Posted 15hrs ago

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Job Description

Senior AI platform engineer operating gateways, MCP services and observability for Technosylva’s wildfire-management software. Building secure, cost-aware production AI infrastructure.

Responsibilities:

  • Build and run core AI platform services, including gateway integrations, skills/plugins review pipelines, a curated MCP registry, and cost and observability tooling
  • Configure, extend and operate the AI gateway for routing, authentication, rate limits, quotas, metadata tagging, and onboarding teams and models
  • Build and operate automated validation, review gates, versioning and release workflows for skills and plugins
  • Write and review skills, agents and plugins
  • Run MCP server intake, security reviews, tool scoping and allowlisting; build internal MCP servers when needed
  • Implement cost tagging and attribution for token and compute spend, and build dashboards and alerts
  • Instrument AI services and agents with tracing, metrics and evaluations; monitor latency, errors, quality and cost per request
  • Set up scoped identities and secrets for agents and automations
  • Collaborate with Security teams on reviews, incident response, access scoping, audit logging and secrets rotation
  • Configure model routing rules, fallbacks and load balancing across model providers
  • Build golden-path templates, CLIs and documentation; support office hours and engineering workshops
  • Participate in the on-call rotation, handle production incidents and create fixes and runbooks

Requirements:

  • 5+ years in software, platform, DevOps or SRE engineering, building and running production services
  • Hands-on experience with LLM APIs, including tool use, structured outputs, streaming and prompt caching
  • Practical understanding of differences between LLM providers, including Anthropic Messages and OpenAI-compatible APIs
  • Experience integrating or configuring an API or LLM gateway, including routing, authentication, rate limiting and tagging
  • Practical experience building with AI coding agents and extension models, including skills, plugins, MCP servers and hooks
  • Strong coding skills
  • Experience with Docker, Kubernetes and infrastructure as code such as Terraform on a major cloud, ideally Azure
  • CI/CD experience such as GitLab CI, including automated validation and review pipelines
  • Experience collaborating with Security teams to implement controls, remediate findings and support security reviews
  • Experience with observability tooling such as OpenTelemetry, Prometheus and Grafana
  • Experience being on call for production systems

Benefits:

  • Competitive annual salary
  • Private health insurance
  • Flexible benefits plan allowing part of the compensation package to be tailored to personal needs
  • Annual bonus based on individual performance and company results
  • Flexible working hours
  • Remote work options