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Staff Applied AI Engineer — Auggie Platform - US (Remote)
Agentic Frameworks
Tech Stack
Agent Workflow
Builds multi-agent orchestration platform (Auggie) where autonomous agents collaborate to execute real estate business workflows in production. Owns MCP integrations to Slack, Notion, Salesforce. Architects auto-generated UIs from agent outputs and human-in-the-loop safeguards.
About the Role
The Opportunity
We don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them.
As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish.
What You'll Do
Multi-agent orchestration and execution. Design and build core systems that let multiple autonomous agents collaborate, delegate, and execute complex business workflows in production.
Autonomous workflow automation. Build the automation layer that turns business processes into agent-driven workflows with human-in-the-loop safeguards.
Auto-generated UIs. Architect systems that dynamically generate functional interfaces from agent outputs.
Platform integration & MCP. Own integration layers connecting to Slack, Notion, Salesforce, and custom data sources.
Required Qualifications
- 8+ years professional software engineering experience with senior/staff-level tenure
- Production experience building multi-agent AI systems (not prototypes)
- Deep familiarity with LLM integration: prompt engineering, function calling, RAG, structured outputs
- Agent orchestration framework experience
- Strong TypeScript/Node.js and distributed systems background
- End-to-end product initiative ownership track record
Tech Stack
Backend: Node/TypeScript, Python
AI: Anthropic Claude, MCP, LangGraph
Data: PostgreSQL, Redis, SQS
Infrastructure: AWS, Kubernetes, Temporal
Compensation: $200,000-$270,000 USD per year