Senior Software Engineer, Internally Deployed Products
Core
Design, build, and operate MCP servers and agent orchestration layers for internal AI tools used by hundreds of employees across Sales, Marketing, and RevOps.
Role type
Senior Software Engineer (AI Infrastructure & Internal Products)
Builds
Production-grade MCP servers, autonomous agent workflows, and internal full-stack tooling for GTM functions.
Domain
AI Infrastructure, Go-to-Market (GTM) Systems, Cloud Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
TypeScript, Node.js, Python, AWS (Lambda, Bedrock, ECS, API Gateway), LLM API integration, REST API design, OAuth/OIDC, CI/CD, Infrastructure-as-Code
Preferred skills
MCP (Model Context Protocol), GCP, CRM API integration (Salesforce/HubSpot), React/Next.js, Agent orchestration frameworks (LangGraph, CrewAI)
Technologies
TypeScript, Node.js, Python, AWS (Bedrock, Lambda, ECS, API Gateway), Okta, Anthropic, OpenAI, LangGraph, CrewAI, Terraform, CDK
Responsibilities
Design and operate Model Context Protocol (MCP) servers exposing data to AI agents; Build multi-step autonomous agents for GTM workflows; Architect prompt engineering frameworks and agent evaluation harnesses; Deliver full-stack internal applications (web apps, CLI, Slack integrations); Mentor junior engineers and establish engineering standards.
Seniority
Senior, hands-on IC