Senior AI Engineer | US | Remote
Core
Building multi-agent AI systems and automation infrastructure for Marketing Operations to eliminate manual work and drive efficiency.
Role type
Senior IC AI Engineer (Agentic Systems & Automation)
Builds
Production-grade multi-agent architectures, LLM integrations, backend services, and self-service automation workflows for internal business teams.
Domain
B2B SaaS Marketing Operations / AI Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, JavaScript/Node.js, LLM frameworks (LangChain, CrewAI, MCP), multi-agent orchestration, RAG, Google Cloud Platform (GCP), BigQuery, serverless/containerized services, prompt engineering, function calling, structured output parsing, AI-assisted development tools.
Preferred skills
Vector databases, marketing/sales platforms (Salesforce, HubSpot), frontend frameworks (React), observability tooling (LangSmith), workflow orchestration (Temporal, Airflow), Model Context Protocol (MCP).
Technologies
LangChain, CrewAI, Anthropic MCP, BigQuery, GCP Cloud Functions, GCP Cloud Run, n8n, Workato, Slack, Salesforce, Customer.io, HubSpot, Marketo, Outreach, React, Pinecone, Weaviate, ChromaDB, Qdrant, pgvector, LangSmith, Weights & Biases, Temporal, Prefect, Airflow, GitHub Copilot, Cursor, Claude Code, Gemini CLI, OpenAI Codex.
Responsibilities
Own end-to-end development of multi-agent AI systems from architecture to operation; Build modular agentic systems using orchestration frameworks; Develop reusable agentic skills for various interfaces; Implement observability, feedback loops, and governance for AI workflows; Build MCP servers, APIs, and microservices connecting AI models to business systems; Architect data flows for RAG; Design and deploy automated workflows with CI/CD; Partner with RevOps and Marketing teams to scope and build high-impact automation solutions.
Seniority
Senior, hands-on IC