AI Platform Engineer

Requisitos y responsabilidades

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What You Will Do

AI Platform BuildShip the Product: Design and build Bloomerang’s internal AI platform end-to-end, from architecture through iteration.Frictionless Access: Build a unified workspace where employees sign in once and every tool, integration, and capability is ready on day one.Governed Intelligence: Partner with data and security stakeholders to integrate role-based, just-in-time access to a tiered data model.Marketplace of Skills: Build the internal app store where employees can publish, discover, and one-click install reusable skills, flows, and agents.Memory That Works: Architect a context system that lets the platform know what people are working on without asking them to re-explain.
Ship the Product: Design and build Bloomerang’s internal AI platform end-to-end, from architecture through iteration.
Frictionless Access: Build a unified workspace where employees sign in once and every tool, integration, and capability is ready on day one.
Governed Intelligence: Partner with data and security stakeholders to integrate role-based, just-in-time access to a tiered data model.
Marketplace of Skills: Build the internal app store where employees can publish, discover, and one-click install reusable skills, flows, and agents.
Memory That Works: Architect a context system that lets the platform know what people are working on without asking them to re-explain.
Internal AI Tooling EnablementHands-On With the Stack: Partner with the AIOps Engineer to advance Bloomerang’s adoption and capability with Replit, Claude, Gemini, Skyvern, and other AI tools already in use.Builder Support: Help internal builders get the most out of existing tools through templates, examples, and direct technical partnership.
Hands-On With the Stack: Partner with the AIOps Engineer to advance Bloomerang’s adoption and capability with Replit, Claude, Gemini, Skyvern, and other AI tools already in use.
Builder Support: Help internal builders get the most out of existing tools through templates, examples, and direct technical partnership.
Embedded DiscoverySit With Users: Spend time with employees across departments to see how they actually work and where the platform can move the needle.Translate Into Capability: Turn what you observe into shipped features — primitives others can build on, not one-off solutions.
Sit With Users: Spend time with employees across departments to see how they actually work and where the platform can move the needle.
Translate Into Capability: Turn what you observe into shipped features — primitives others can build on, not one-off solutions.

Details

Ship the Product: Design and build Bloomerang’s internal AI platform end-to-end, from architecture through iteration.
Frictionless Access: Build a unified workspace where employees sign in once and every tool, integration, and capability is ready on day one.
Governed Intelligence: Partner with data and security stakeholders to integrate role-based, just-in-time access to a tiered data model.
Marketplace of Skills: Build the internal app store where employees can publish, discover, and one-click install reusable skills, flows, and agents.
Memory That Works: Architect a context system that lets the platform know what people are working on without asking them to re-explain.
Hands-On With the Stack: Partner with the AIOps Engineer to advance Bloomerang’s adoption and capability with Replit, Claude, Gemini, Skyvern, and other AI tools already in use.
Builder Support: Help internal builders get the most out of existing tools through templates, examples, and direct technical partnership.
Sit With Users: Spend time with employees across departments to see how they actually work and where the platform can move the needle.
Translate Into Capability: Turn what you observe into shipped features — primitives others can build on, not one-off solutions.

What You Need to Succeed

The Builder Mindset: You ship. You’d rather have something rough running in production than something perfect on a whiteboard.
Mixed AI & Generalist Depth: You’ve built with LLMs and agentic frameworks, and you’re a strong generalist software engineer.
Platform Thinking: You build for the second user, not just the first. One person’s breakthrough should become everyone’s baseline.
Modern AI Tooling Fluency: Working knowledge of Claude Code, Replit, MCP, and the broader agentic ecosystem.
Identity & Security Fluency: Comfortable integrating SSO (OIDC/SAML) into custom applications and reasoning about least-privilege access.
Communication: You translate user needs into technical solutions without losing the nuance — and explain what you built back in their language.
Adaptability: The AI landscape shifts weekly. You’re energized by that, not exhausted by it.
High Ownership: Greenfield build, small team. You make decisions, ship, and adjust.

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