AI Engineer - Developer Experience
Core
Architecting and evolving an Internal AI Engineering Platform to empower software teams with next-generation tools, agentic workflows, and secure infrastructure.
Role type
Senior IC AI Engineer (Developer Experience)
Builds
Internal AI platforms, MCP servers, shared agentic workflows, and developer tooling integrations.
Domain
Energy Intelligence / Software Engineering Infrastructure
Deliverable
production ML models | infrastructure
Required skills
LLM-ops lifecycle management, distributed systems architecture, AWS production experience, MCP (Model Context Protocol) implementation, agentic workflow design, security guardrails for AI, performance metrics automation, low-code automation design
Preferred skills
Experience with Claude Code, Kiro, or Opencode, knowledge of LangChain/LangGraph, observability tooling
Technologies
AWS, Kubernetes, LLMs (Claude, GPT), MCP servers, LangChain, LangGraph
Responsibilities
Lead trials and deployment of next-generation engineering tools (Claude Code, Kiro, Opencode); Design and maintain the MCP registry for secure tool deployment; Develop and maintain 'Shared Agents' and agent standards; Build low-code automations for spec-driven development; Author security guidelines and onboarding documentation; Architect tracking of AI Impact Metrics; Partner on security safeguards and cost optimization for AI usage
Seniority
Senior, hands-on IC
