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About the role
We're looking for a Senior Principal Engineer to help stand up this team from its earliest days and bring AI-enabled development practices to Wonder Engineering. You'll design and build solutions to solve context fragmentation, MCPs/CLIs, skills, sub-agents, and integrations that connect AI tooling to Wonder's codebases and systems, and the AI-assisted workflows — code generation, review, testing, documentation, refactoring, on-call/incident management — that engineers use every day. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience
- 5+ years of professional software engineering experience, including recent, hands-on work building with or on top of LLM-based tooling (agents, MCP servers, coding assistants, or similar)
- Direct experience integrating AI tools into real development workflows — code review, testing, code generation, or documentation — beyond individual use as an end user
- Strong system design skills and a track record of owning tools or platforms end-to-end, from design through adoption
- Comfort operating with ambiguity: this is a new team without established playbooks, and you'll be shaping them
- Experience designing and consuming APIs, webhooks, or other integration/message-based systems
More about this role
We're looking for a Senior Principal Engineer to help stand up this team from its earliest days and bring AI-enabled development practices to Wonder Engineering. You'll design and build solutions to solve context fragmentation, MCPs/CLIs, skills, sub-agents, and integrations that connect AI tooling to Wonder's codebases and systems, and the AI-assisted workflows — code generation, review, testing, documentation, refactoring, on-call/incident management — that engineers use every day.
We’re looking for someone who brings proven AI-tooling developer patterns and practices from outside Wonder that we haven't yet discovered internally. You'll partner closely with the team's other engineers across the company, each of whom owns a distinct part of the developer-experience surface area, and with the platform, infrastructure, and application teams whose workflows you're improving.
- Build AI-Native Developer Tooling: Design and ship Context aggregation solutions, MCPs/CLIs, skills, and sub-agents that give AI coding tools sanctioned, reliable access to Wonder's codebases, services, and systems. Help define and stand up Wonder's autonomous development agents and cloud agent solutions.
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