AI Platform Engineer

📋 Description

• Productionizing AI workflows: Transform prototypes into robust production systems with defined
• Building and managing MCP servers: Design, deploy, secure, and maintain Model Context Protocol
• Developing autonomous agents: Build multi-step agents capable of planning and taking action across
• Implementing security and governance: Establish platform-wide guardrails, including agent
• Creating evaluation frameworks: Develop test datasets, evaluation criteria, regression suites, and
• Improving observability: Instrument agents and workflows with tracing, logging, latency and cost

🎯 Requirements

• At least 5 years of experience as a software, platform, or infrastructure engineer, with a solid
• Between 6 and 12 months of experience shipping LLM-based systems to production and supporting
• Daily, hands-on experience using AI coding agents such as Claude Code and Codex to write, test, and
• Experience developing autonomous or multi-step agents with tool integrations, using technologies
• Practical experience building MCP servers, including OAuth authentication flows, scoped tokens, and
• Knowledge of identity and access management systems such as Okta or similar identity providers

🎁 Benefits

• Remote-first work environment: Join a globally distributed workforce and work remotely.
• Health insurance: Access medical, dental, and vision coverage, with employee and dependent coverage
• Retirement benefits: Benefit from a company-matched 401(k) contribution of up to 3% for eligible
• Home office allowance: Receive a one-time allowance of $1,500 to set up your home workspace.
• Professional development: Access an annual book allowance of $200 to support continuous learning.
• Connectivity reimbursement: Receive $75 per month toward internet or phone expenses.