AI System Engineer

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.TLDR About HypeHype is the leading agency in onchain marketing, founded in 2017Work with leading projects in the Web3 spaceFully-remote, flexible hours, team of 110+ peopleCompetitive salary and future bonus opportunitiesWho we’ve worked with:What You'll Actually Do Day-to-DayBuild automation workflows from scratch - everything from simple Slack notifications to complex multi-step & multi-agent automations with AI agentsDesign and implement AI systems - Build RAG pipelines, optimize prompts, create agent workflowsConnect tools and APIs - Make Airtable talk to Claude, sync Notion with internal databases, create custom webhooksA/B test automation solutions - Build multiple versions of workflows to see what performs betterEvaluate new AI tools weekly - Test emerging platforms and make recommendations on what to adopt or skipDebug and troubleshoot - Figure out why that webhook isn't firing or why the AI agent is returning weird responsesDocument everything - Create clear documentation so others can understand and maintain what you've builtOptimize 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 toolsPerks 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 RequirementsThe Technical Skills You NeedMust-Haves:Automation expertise - You've built complex workflows and know your way around expressions, error handling, and custom functionsAPI integration experience - REST APIs, webhooks, OAuth flows should be second natureBasic coding skills - JavaScript for custom n8n nodes, Python for data processingDeep AI/LLM understanding:Prompt engineering and context window optimizationRAG systems and vector database implementation (Pinecone, Weaviate, ChromaDB)Understanding of embeddings, semantic search, and retrieval strategiesExperience with different LLM APIs and their trade-offs (GPT-4, Claude, Llama, etc.)Knowledge of agent architectures and memory systemsTool-agnostic mindset - You understand the principles behind automation/AI tools, not just specific platformsProblem-solving mindset - You enjoy debugging and don't give up easilyNice to Have:Experience with N8n, Make.com (Integromat), Zapier, or similar platformsKnowledge of marketing tools (Notion, Airtable, Slack, Google Workspace)Experience with LangChain, LlamaIndex, or similar frameworksKnowledge 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 withModel Context Protocol (MCP) for connecting LLMs to tools and data sourcesWho You AreBuilder first, talker second - You'd rather show a working prototype than make a slideshowPrinciples over platforms - You understand WHY things work, not just HOW to click buttonsConstantly experimenting - Your browser has 20+ tabs open with different AI tools and documentationTool-agnostic - You can quickly evaluate and adapt to new platforms because you understand the underlying conceptsDetail-oriented - A misplaced comma in JSON makes you twitchSelf-directed - You can take a vague request and figure out the implementation detailsLearning machine - New tools and updates excite rather than overwhelm youPragmatic - You know when to build custom vs. when to use existing solutionsWhat Success Looks Like30 Days:Built and deployed 5+ production workflowsDocumented our existing automation infrastructureIdentified and fixed bottlenecks in current systems90 Days:Reduced manual work across teams by 40+ hours/week through automationBuilt and tested at least 3 different approaches for our core workflowsCreated a library of reusable components6 Months:Own the entire automation infrastructureSuccessfully migrated at least one major workflow to a better tool/approachBuilt production RAG systems for internal knowledge managementTrain team members on using the tools you've builtProactively identify and implement new automation opportunitiesWhy Join HYPE's AI Unit?Real impact - Your agents & automations will directly affect how 100+ people work dailyCreative freedom - We care about results, not how you achieve themCutting-edge tools - Full access to the latest AI APIs and automation platformsRemote-first - Work from anywhere, async-friendly cultureThe Practical StuffLocation: Remote (timezone overlap with CET preferred)Type: Full-time, freelance contract.How to ApplySkip the cover letter. Instead, send us: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]. - 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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