Principal AI Engineer
Core
Design and evolve internal AI frameworks and agentic systems to accelerate the company's product development lifecycle.
Role type
Principal AI Engineer (Agentic Systems & Frameworks)
Builds
Scalable AI-agentic Product Development Lifecycle framework, AI agents, subagents, skills, and MCP server tooling.
Domain
Enterprise Software Development / Generative AI / Agentic Systems
Deliverable
production ML models | product features | infrastructure
Required skills
AI engineering (prompt engineering, agentic systems, RAG), API design and integration, Python/GoLang/TypeScript, MCP server development, AI-native IDEs and CLI assistants, continuous delivery pipelines
Preferred skills
Model Context Protocol (MCP) server experience, leading development teams
Technologies
Python, GoLang, TypeScript, RESTful APIs, OAuth 2.0, Cursor, GitHub Copilot, Claude Code
Responsibilities
Architect and evolve the AI-agentic Product Development Lifecycle framework; Design and orchestrate multi-agent systems; Develop clean, maintainable code using advanced AI techniques; Integrate MCP servers and tooling ecosystems; Implement continuous delivery pipelines; Collaborate and mentor global team members
Seniority
Principal, hands-on IC with leadership responsibilities
