Staff AI Engineer | US
Core
Build multi-agent AI systems and backend infrastructure to automate workflows for Marketing, RevOps, and SDR teams, connecting LLMs to internal data platforms.
Role type
Staff AI Engineer (Agentic Systems & Automation)
Builds
Production-grade multi-agent architectures, MCP servers, APIs, and self-service automation workflows.
Domain
B2B SaaS Marketing Operations & AI Infrastructure
Deliverable
production ML models
Required skills
Python, JavaScript/Node.js, LLM frameworks (LangChain, CrewAI), RAG, multi-agent orchestration, GCP (BigQuery, Cloud Functions, Cloud Run), system design, observability
Preferred skills
Vector databases, Salesforce/HubSpot, React/Slack Block Kit, workflow orchestration (n8n, Temporal), Model Context Protocol (MCP), open-source contributions
Technologies
LangChain, CrewAI, Anthropic MCP, BigQuery, GCP, n8n, Workato, Slack, Salesforce, HubSpot, React, Pinecone, LangSmith
Responsibilities
Design and deploy multi-agent systems with 24/7 operation; build MCP servers and microservices for data integration; partner with RevOps/Marketing to scope and solve high-impact automation problems; establish AI governance and compliance standards; create self-service documentation and playbooks for partner teams.
Seniority
Staff, high-autonomy technical leadership