Implement custom agent skills, subagents, hooks, and plugins for specific engineering workflows
Build agentic workflows that automate parts of the coding lifecycle: code generation, verification, testing, and delivery
Help engineering teams adopt and customize AI coding tools
Wire AI into CI/CD: automated PR review, doc generation, test scaffolding, bug triage
Build the observability layer: usage telemetry, cost dashboards, audit logs
Investigate and fix issues: misbehaving agents, eval regressions
Write reusable, testable, and efficient code
Stay current with new AI coding tools and patterns

3+ years of experience as a software engineer building production systems and platforms
Daily user of AI coding tools with experience customizing them: skills, rules, subagents, MCP servers, hooks, or extensions
Working knowledge of MCP and how to expose internal tools to AI agents safely
Working knowledge of the Anthropic API (preferred) or equivalents
Solid prompt engineering experience for tasks with tools and multi-step agentic workflows
Strong backend skills: TypeScript or Python in production, REST APIs, async work, relational databases
Experience with CI/CD systems (GitHub Actions or similar)
Awareness of the security side of AI dev tools
Experience developing real-world web applications
Self-motivated and adaptable to changing technologies and requirements

Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents
Comprehensive wellness benefits and healthcare concierge services
401(k) plan
Company-paid life and disability insurance
Tax-advantaged spending accounts
Paid Parental Leave policy after six months of employment
Kindbody fertility and family-building benefits
Generous annual stipends for professional and personal development
Flexible vacation policy
Paid holidays

Platform Engineer, AI Tooling

Key skills