AI Engineer
BM Digital · Remote
About this role
## AI Engineer (Remote, Full-Time) **Advantage HQ** is building the next generation of creator-led growth infrastructure for consumer brands—combining performance marketing with proprietary technology and AI. ### The Opportunity As an **AI Engineer**, you’ll design and build production AI systems and internal tools that remove manual work across the company—automating workflows, speeding up decisions, and making operations more data-driven. > **This is not a research or prompt-writing role.** You’ll write production code and build tools people rely on every day. ### What You’ll Own - **AI Strategy & Process Transformation** - Map current workflows and identify where AI/automation creates the biggest impact - Build and maintain a prioritized roadmap of AI opportunities - Redesign processes around AI (not just “add AI” to existing steps) - Track impact in time saved, cost, and quality - **AI Systems, Agents & Automation** - Build AI agents and multi-step workflows for research, briefing, reporting, analysis, and operations - Develop LLM-powered applications (Claude is the primary model) - Automate repetitive work across tools (reporting, onboarding steps, approvals, status updates) - Add human review where accuracy matters - **Internal Tools, Sites & Dashboards** - Build internal web apps/portals and dashboards for real-time visibility - Connect dashboards to live data sources (reduce manual reporting) - Add AI-powered features like natural-language search, summaries, and automated insights - **Data, Integrations & Knowledge Systems** - Integrate systems (Google Workspace, Slack, project tools, CRM/HR, ad platforms) - Build data pipelines and **RAG** over SOPs, playbooks, and internal knowledge - Work with the Technology team on **Meteoric AI** overlap - **Quality, Security & Reliability** - Implement evaluation checks and monitoring for accuracy, failures, and drift - Ensure secure handling of company/client data with proper access controls - Log/monitor systems for traceability and debugging - Manage AI tool/API/infrastructure costs - **Adoption, Enablement & Collaboration** - Partner with teams to understand workflows and pain points before building - Roll out tools with guides, demos, and training - Help teams use Claude effectively (Projects, Skills, connectors) - Collect feedback and improve tools that aren’t being adopted ### Who You Are - Experienced engineer who uses AI to change how businesses operate - Hands-on with AI systems, automations, and internal tooling in production - Pragmatic builder: chooses the simplest approach that solves the problem - Comfortable owning the full lifecycle: scope → ship → roll out → measure - Strong communication with non-technical stakeholders ### Experience We Value - **4+ years** professional software engineering; **2+ years** building AI/automation/internal tooling in production - Strong **Python** and **TypeScript/JavaScript** - Hands-on experience with **Claude** (Claude API, Claude Code, Projects, Skills, MCP) - Experience with other LLM providers (e.g., OpenAI, Gemini) and knowing when to use them - Experience with AI agents, function calling, and multi-step workflows - Workflow automation tools (e.g., **n8n, Make, Zapier**) - API/webhook integrations (Google Workspace, Slack, CRM, PM tools) - Solid **SQL** and experience with data pipelines/warehouses - Plus: experience leading AI adoption or process improvement ### What Success Looks Li
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