Senior AI Engineer

📋 Description

• Own AI agent infrastructure and automation platform for Marketing Ops.
• Build modular agentic systems using LangChain, MCP, and similar.
• Develop reusable agentic skills across Slack, dashboards, CLIs.
• Implement observability and cost management for AI workflows.
• Establish governance, access controls, audit trails for AI workflows.
• Build MCP servers, APIs, CLIs connecting AI models to data.

🎯 Requirements

• 8+ years software engineering experience.
• 2+ years applying LLMs/AI to production workflows.
• Strong Python and JavaScript/Node.js skills.
• Experience with LLM frameworks: prompt engineering, RAG, function calls.
• Experience building multi-agent systems at scale and orchestration patterns.
• Deep familiarity with Google Cloud Platform and BigQuery; serverless services.

🎁 Benefits

• 100% remote, global culture.
• RSU-based compensation.
• Transparent communication and regular updates.
• Autonomy to ship great work and try new things.
• Open source roots and OSS culture.
• Career growth pathways.