Ai Automation Expert

We're looking for a hands-on builder to join HYPE's AI Unit as an AI Automation Expert. While our AI transformation strategy is set, we need someone who loves rolling up their sleeves and making things work. You'll spend your days building agents, workflows, systems, connecting APIs, testing automation solutions, and turning ideas into working systems.

This is NOT a strategy role - it's for someone who gets excited about troubleshooting webhook errors at 10pm and celebrates when a complex workflow finally runs perfectly.

**TLDR About Hype**:

- Hype is the leading agency in onchain marketing, founded in 2017
- Work with leading projects in the Web3 space
- Fully-remote, flexible hours, team of 110+ people
- Competitive salary and future bonus opportunities

**Who we’ve worked with**:
**What You'll Actually Do Day-to-Day**:

- **
Build automation workflows** from scratch - everything from simple Slack notifications to complex multi-step & multi-agent automations with AI agents
- ** Design and implement AI systems** - Build RAG pipelines, optimize prompts, create agent workflows
- ** Connect tools and APIs** - Make Airtable talk to Claude, sync Notion with internal databases, create custom webhooks
- ** A/B test automation solutions** - Build multiple versions of workflows to see what performs better
- ** Evaluate new AI tools weekly** - Test emerging platforms and make recommendations on what to adopt or skip
- ** Debug and troubleshoot** - Figure out why that webhook isn't firing or why the AI agent is returning weird responses
- ** Document everything** - Create clear documentation so others can understand and maintain what you've built
- ** Optimize existing workflows** - Take our MVP automations and make them production-ready
- ** Stay ahead of the curve** - Dedicate time each week to exploring new AI developments and tools

**Perks and Benefits**:

- **Fully Remote**: Work from anywhere We just ask that you overlap at least half a day with EU and US time zones — otherwise, your schedule is yours to manage
- **Diverse Projects**: No monotony here You'll work with a variety of clients across Web3, keeping things fresh and expanding your network
- ✈️ **Travel Budget**: Get support for work-related travel when needed
- **25 Days PTO**: Recharge with 25 paid days off per year
- **Bull Run Bonus**: Because when the market pumps, so should you

**The Technical Skills You Need**:
**Must-Haves**:

- ** Automation expertise** - You've built complex workflows and know your way around expressions, error handling, and custom functions
- ** API integration experience** - REST APIs, webhooks, OAuth flows should be second nature
- ** Basic coding skills** - JavaScript for custom n8n nodes, Python for data processing
- ** Deep AI/LLM understanding**:

- Prompt engineering and context window optimization
- RAG systems and vector database implementation (Pinecone, Weaviate, ChromaDB)
- Understanding of embeddings, semantic search, and retrieval strategies
- Experience with different LLM APIs and their trade-offs (GPT-4, Claude, Llama, etc.)
- Knowledge of agent architectures and memory systems
- ** Tool-agnostic mindset** - You understand the principles behind automation/AI tools, not just specific platforms
- ** Problem-solving mindset** - You enjoy debugging and don't give up easily

**Nice to Have**:
- Knowledge of marketing tools (Notion, Airtable, Slack, Google Workspace)
- Experience with LangChain, LlamaIndex, or similar frameworks
- Knowledge of agent swarms and multi-agent structures
- Basic understanding of crypto/web3
- Experience with alternative AI tools
- Proficiency with AI-powered development tools**(Claude Code, Cursor, GitHub Copilot, Codeium)
- Familiarity with Model Context Protocol (MCP) for connecting LLMs to tools and data sources

**Who You Are**:

- **
Builder first, talker second** - You'd rather show a working prototype than make a slideshow
- ** Principles over platforms** - You understand WHY things work, not just HOW to click buttons
- ** Constantly experimenting** - Your browser has 20+ tabs open with different AI tools and documentation
- ** Tool-agnostic** - You can quickly evaluate and adapt to new platforms because you understand the underlying concepts
- ** Detail-oriented** - A misplaced comma in JSON makes you twitch
- ** Self-directed** - You can take a vague request and figure out the implementation details
- ** Learning machine** - New tools and updates excite rather than overwhelm you
- ** Pragmatic** - You know when to build custom vs. when to use existing solutions

**What Success Looks Like**:** 30 Days**:

- Built and deployed 5+ production workflows
- Documented our existing automation infrastructure
- Identified and fixed bottlenecks in current systems

**90 Days**:

- Reduced manual work across teams by 40+ hours/week through automation
- Built and tested at least 3 different approaches for our core workflows
- Created a library of reusable components

**6 Months**:

-