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Placer.ai

Senior AI Platform Engineer

Placer.ai
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about 3 hours ago
Remote, United StatesSenior / Staff+
H1B Sponsor

Base Salary

$180k - $200k/yr

Responsibilities

  • Architect agents that automate multi-step workflows.
  • Design and deploy MCP servers for external SaaS integrations and internal tools.
  • Build the OAuth and credential management layer for secure connector authentication.
  • Define and apply standards for production-ready MCP servers.
  • Triage incoming connector requests and prioritize engineering tasks.
  • Develop Cowork plugins and Claude skills for specific workflows.
  • Manage Placer's internal BI environment on Databricks.
  • Track usage of internal AI tools to measure adoption and value.
  • Optimize platform infrastructure for performance and cost efficiency.
  • Implement security best practices for AI platforms.

Requirements

  • 8+ years of backend engineering experience.
  • Experience with MCP servers, LLM tools, or AI agent frameworks.
  • Background in data engineering or analytics tooling.
  • Solid understanding of REST APIs, OAuth 2.0, and credential management.
  • Experience with Kubernetes or equivalent container infrastructure.
  • Familiarity with Databricks or similar data warehousing tools is a plus.
  • Ability to work without an existing playbook in a new AI platform environment.
  • Strong communication skills for translating business and engineering needs.
  • Comfortable managing competing priorities across various teams.

Benefits

  • Competitive salary.
  • Excellent benefits including medical, dental, and vision coverage.
  • Flexible time off.
  • 401K and equity awards for certain roles.
  • Fully remote work environment.

Tech Stack

DatabricksGoogle CloudKubernetes

Categories

AI & MLBackendData Engineering