Senior Agentic Systems Engineer
Core
Design, build, and operate autonomous AI-powered tools and workflows to enhance engineering team productivity.
Role type
Senior IC Agentic Systems Engineer
Builds
Centralized AI tools, autonomous agentic systems, and multi-step workflows for internal engineering use cases.
Domain
Software Engineering / AI Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
LLM orchestration, multi-agent system design, API integration, full-stack development, token economy optimization, prompt engineering, RAG implementation, telemetry analysis, TypeScript, Python, Node.js, React, GitHub/Jira/Confluence API integration.
Preferred skills
Experience with Claude Code, GitHub Copilot, Cursor, Codex, MCP servers, CLI tool development, internal marketplace creation.
Technologies
TypeScript, Node.js, Python, React, GitHub API, Jira API, Confluence API, CI/CD systems, MCP servers, RAG frameworks.
Responsibilities
Build centralized AI-powered tools for engineering teams; Create and maintain agents, skills, hooks, MCP servers, plugins, and workflow automation; Design autonomous agentic systems for internal engineering use cases; Build multi-step AI workflows across code, documentation, Jira, GitHub, CI/CD, and internal systems; Build tools for PR review support, test generation, documentation updates, spec creation, codebase understanding, and developer productivity; Integrate AI tools with GitHub, Jira, Confluence, CI/CD, internal portals, and engineering systems; Optimize AI workflows for cost, latency, quality, and reliability; Contribute to the internal AI marketplace and reusable asset catalog.
Seniority
Senior, hands-on IC