We're looking for a hands-on builder to join HYPE's AI Unit as an AI System Engineer. 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.
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
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
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
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
Experience with N8n, Make.com (Integromat), Zapier, or similar platforms
Knowledge of marketing tools (Notion, Airtable, Slack, Google Workspace)
Experience with LangChain, LlamaIndex, or similar frameworks
Knowledge of agent swarms and multi-agent structures
Proficiency with AI-powered development tools(Claude Code, Cursor, GitHub Copilot, Codeium)
Familiarity withModel Context Protocol (MCP) for connecting LLMs to tools and data sources
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
Built and deployed 5+ production workflows
Documented our existing automation infrastructure
Identified and fixed bottlenecks in current systems
Reduced manual work across teams by 40+ hours/week through automation
Built and tested at least 3 different approaches for our core workflows
Successfully migrated at least one major workflow to a better tool/approach
Built production RAG systems for internal knowledge management
Train team members on using the tools you've built
Proactively identify and implement new automation opportunities
Real impact - Your agents & automations will directly affect how 100+ people work daily
Creative freedom - We care about results, not how you achieve them
Cutting-edge tools - Full access to the latest AI APIs and automation platforms
Remote-first - Work from anywhere, async-friendly culture
Location: Remote (timezone overlap with CET preferred)
Type: Full-time, freelance contract.
A link to an n8n workflow/agent you've built (JSON export or screenshots)
Your proudest automation achievement (2-3 paragraphs max)
Answer this: "Pick any repetitive task at a crypto marketing agency. Show us how you'd automate it using n8n or other tools, and explain why you chose that approach."
Bonus: Share a recent AI tool/technique you discovered and why it excited you.
Send to: [email protected]
P.S. - If you've ever spent a weekend building a personal automation, agents, SaaS, just because you were curious if it would work, you're probably who we're looking for.
P.P.S. - This isn't just an automation role with some AI sprinkled on top. We need someone who deeply understands LLMs, can debate the merits of different embedding models, and gets genuinely excited when Anthropic releases new features. If you're already thinking "I could build a better version of this job posting using a fine-tuned model," definitely apply.
P.P.P.S. - If you know what MCP is and why it matters for the future of AI tool integration, we should definitely talk.
Originally posted on Himalayas
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