Internal Systems Engineer (Applied AI)
Core
Building AI-powered tools, agents, and a shared agent platform to supercharge Customer Operations teams (Support, Success, Onboarding) with production-grade infrastructure and self-serve capabilities.
Role type
Internal Systems Engineer (Applied AI)
Builds
AI-powered QA/training tools, agentic workflows for onboarding, FreshDesk integrations, and a shared agent platform for non-engineers.
Domain
SaaS commerce platform / Customer Operations / Applied AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, JavaScript/TypeScript, REST APIs, LLM orchestration (LangChain/LangGraph), RAG pipelines, agentic workflows, AI evaluation systems, CI/CD for AI, system design, observability
Preferred skills
Freshdesk/Zendesk/Jira integration, knowledge base platform integration, internal platform development, monitoring AI systems in production
Technologies
Python, JavaScript/TypeScript, LangChain, LangGraph, FreshDesk, Gitbook
Responsibilities
Integrate applied AI into workflows using modern frameworks; build and maintain templates and deployment infrastructure for self-serve agent creation; develop custom internal software, integrations, and automations; partner with stakeholders to elevate pilot projects to production; teach non-technical staff to build agents.
Seniority
Mid-Senior, hands-on IC
