Junior Agentic Engineer — AIMS (AI-Native Builder)
About The Position
We're looking for a builder who thinks like a product manager and codes like an AI-native developer. Someone who ships revenue-generating systems fast and knows that every internal tool today becomes a client product tomorrow. You'll build AI-powered content systems, RevOps analytics pipelines, and sales intelligence tools. Every system solves a real business problem first—if it works for us, we package it and sell it. That's the AIMS model. If you want to build cool tech demos that don't solve business problems, this isn't for you. If you think in terms of LTV, default to shipping over perfecting, and get excited about turning internal tools into external products, you'll thrive here. If you're curious at heart, genuinely love AI, and light up when you get to build with cutting-edge tools, we should talk. AIMS started from Vendingpreneurs - RevOps systems that generated 1,600+ community members and grew a multi-million dollar portfolio. We asked: "What if we productized these playbooks?" That's exactly what we did. Today, AIMS operates with zero customer acquisition cost. Our client portfolio spans manufacturing, multi-location real estate services, coaching communities, medical services, service-based businesses, and SaaS/retail. What makes us different: Proven Playbooks: Everything we do has already worked at scale AI-First: Automation and AI deliver premium results without premium overhead Built by Operators: We're practitioners, not theorists. We've run these plays ourselves. We're not building another agency. We're building the blueprint for how all agencies should operate in the AI era.
Requirements
- AI-native development with Claude Code, Cursor, or similar AI-assisted IDEs as your daily driver
- DevOps fundamentals —Git, CI/CD, containerization, and production discipline
- MCP server development and connecting AI to real data sources (APIs, databases, CRMs)
- Vector databases and RAG architecture experience building systems that retrieve and reason over internal data
- Internal tool building with Streamlit, Next.js, or whatever ships fastest
- AI security understanding —prompt injection prevention, secrets management, input/output validation
- Product thinking —you ask "can we sell this?" not just "does it work?"
- Genuine curiosity —you can name three AI tools you discovered in the last month because you're constantly exploring
Nice To Haves
- PromptOps experience, orchestration frameworks (LangChain, LangGraph, CrewAI)
- AI observability tooling (Langfuse, Helicone)
- Experience building tools for marketing/sales operations
Responsibilities
- Build & Productize: Create AI systems that solve our problems today and become client products tomorrow. Real business value.
- Ship Fast: Deploy working tools using Claude Code, Cursor, and AI-assisted workflows. Days to production, not weeks to perfection.
- Own the Infrastructure: Build with MCP servers, RAG pipelines, dashboards, and automated insights that drive business decisions.
- Bridge Technical & Business: Translate between engineering reality and business needs. Build tools people actually use.
- Document Everything: Every system becomes a playbook. Every win gets packaged. Every tool gets evaluated for productization.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
