AI Engineer

Location: Manila, Philippines About Advantage HQ Advantage HQ is building the next generation of creator-led growth infrastructure for consumer brands. We combine creative strategy, creator partnerships, performance content, whitelisting, affiliate distribution, paid media, and proprietary technology into one integrated growth system. Our team manages more than $850 million in annual media spend and works with a network of more than 400,000 creators across Meta, TikTok, and YouTube. Through Meteoric AI, our proprietary intelligence platform, we use data and AI to improve decision-making across creative production, creator selection, customer acquisition, campaign performance, and brand growth. We work with ambitious consumer brands across health, wellness, beauty, nutrition, personal care, and lifestyle. The Opportunity We are looking for a hands-on AI Engineer to bring AI into how Advantage HQ operates, across every team and every core process. As we scale, our teams spend a large share of their time on manual work: gathering data, building reports, writing briefs, moving information between tools, and repeating the same steps across clients. We see a large opportunity to use AI to remove that work, speed up decisions, and help every team do more with the same headcount. Your mission is to design and build the AI systems, internal tools, sites, and dashboards that make our company faster, more efficient, and more data-driven. You will own this work end to end: mapping how teams work today, identifying where AI and automation can make the biggest difference, building the solution, rolling it out, and making sure people use it. This is not a research role or a prompt-writing role. We are looking for an engineer who writes production code, understands how to apply LLMs to real business processes, and knows how to build tools that people rely on every day. You will work closely with leadership and with our Growth, Creative, Media Buying, Client Services, Finance, People, and Technology teams to find the highest-value problems and solve them with AI. Success means AI is built into how Advantage HQ works: core processes are automated, teams have the tools and dashboards they need, and the business runs measurably faster and more efficiently. What You'll Own AI Strategy & Process Transformation Map current workflows across departments and identify where AI and automation can save time, reduce errors, or improve decisions. Build and maintain a prioritized roadmap of AI opportunities based on business impact and effort. Redesign processes around AI, not only add AI to existing steps, working with team leads to agree on the new way of working. Recommend which problems need custom builds and which are better solved with existing AI tools and platforms. Track and report the impact of each initiative to leadership in terms of time saved, cost, and quality. Stay current with new models, tools, and techniques, and assess which ones are ready for use across the company. AI Systems, Agents & Automation Build AI agents and multi-step workflows that automate research, briefing, reporting, analysis, and operational tasks. Develop LLM-powered applications with Claude as our primary model, using other providers where they fit better. Automate repetitive work between tools, such as data entry, status updates, client reporting, onboarding steps, and approvals. Build AI assistants that help teams draft, summarize, review, and answer questions using company knowledge. Write, test, and version prompts, tool definitions, and structured outputs as part of the codebase. Add human review steps where accuracy matters, so automation stays reliable. Internal Tools, Sites & Dashboards Design and build internal web apps, portals, and sites that give teams one place to access the tools and information they need. Build dashboards that give leadership and teams real-time visibility into performance, operations, and key business metrics. Connect dashboards to live data sources so reporting is automatic rather than built by hand. Create AI-powered features within internal tools, such as natural-language search, automated insights, and summaries. Build tools quickly using a mix of custom code and low-code platforms, choosing whichever fits the problem best. Maintain and improve internal tools based on user feedback and changing business needs. Data, Integrations & Knowledge Systems Integrate the systems we use every day, including Google Workspace, Slack, project management tools, CRM, HR systems, and advertising platforms. Build data pipelines that collect, clean, and structure data from internal and external sources. Build retrieval-augmented generation (RAG) systems over SOPs, playbooks, client information, and internal knowledge so teams can find answers instantly. Organize company knowledge so it is accurate, current, and usable by both people and AI systems. Work with team leads to define data standards and keep data clean across systems. Connect with the Technology team on Meteoric AI where internal tools and our proprietary platform overlap. Quality, Security & Reliability Build evaluation checks that measure the accuracy and usefulness of AI outputs before and after changes. Monitor AI systems and automations for errors, failures, and drift, and fix issues quickly. Ensure company and client data is handled securely, with the right access controls and data privacy practices. Set up logging and monitoring so every system can be traced and debugged. Monitor and manage the cost of AI tools, APIs, and infrastructure. Document every system clearly so it can be maintained, handed over, and improved. Adoption, Enablement & Collaboration Work closely with each team to understand their workflows, pain points, and goals before building. Roll out new tools with clear guides, demos, and training so people use them. Help teams use Claude effectively in their daily work, including setting up shared Projects, Skills, and connectors for each team. Collect feedback, track usage, and improve tools that are not getting adopted. Explain technical trade-offs and results clearly to non-technical teammates and leadership. Help build a culture where every team looks for ways to work smarter with AI. Who You Are You are an experienced engineer who uses AI to change how businesses operate, not only to build demos. You have hands-on experience building AI systems, automations, and internal tools that teams rely on, and you understand the full process, from mapping a workflow and choosing an approach to building, rolling out, and measuring the result. You know that a tool nobody uses has no value. You measure your work by hours saved, processes improved, and how many people use what you build. You are pragmatic about technology. You pick the simplest approach that solves the problem, whether that is an off-the-shelf tool, a low-code automation, a dashboard, an AI agent, or a custom application. You are also a builder. You can take an unclear problem, define the scope, ship a first version quickly, and improve it based on feedback and data. You are comfortable working with people from every department, understanding how they work, and explaining technical decisions in plain language. Most importantly, you are highly accountable, proactive, analytical, and comfortable taking ownership of the systems you build. Experience We Value 4+ years of professional software engineering experience, including 2+ years building AI, automation, or internal tooling in production. Strong proficiency in Python and TypeScript or JavaScript. Strong hands-on experience with Claude, including the Claude API, Claude Code, Projects, Skills, and connecting Claude to business tools through the Model Context Protocol (MCP). Experience with other LLM providers such as OpenAI or Google Gemini, and knowing when each model is the right fit. Experience building AI agents, tool use, function calling, and multi-step workflows. Experience with workflow automation platforms such as n8n, Make, or Zapier. Experience integrating business tools through APIs and webhooks, including Google Workspace, Slack, CRM, and project management tools. Solid SQL skills and experience with databases, data pipelines, and data warehouses. Experience leading AI adoption or process improvement inside a company is a strong plus. Excellent communication skills and the ability to work directly with non-technical stakeholders. Entrepreneurial mindset with a strong bias toward execution, ownership, and measurable results. What Success Looks Like Your performance will be measured primarily by how much AI improves the way Advantage HQ operates. Key metrics include: Processes Automated: Number of core business processes automated or redesigned with AI. Time Saved: Hours of manual work removed each month across teams. Tool Adoption: Active, regular use of AI systems, internal tools, and dashboards by each team. Delivery: Number and quality of AI systems, sites, and dashboards shipped on schedule. Reporting Coverage: Share of key business metrics available in automated, real-time dashboards. Process Speed: Reduction in turnaround time for key workflows such as reporting, briefing, and onboarding. Output Quality: Accuracy and usefulness of AI outputs, measured against defined checks. System Reliability: Uptime and error rates of AI systems and automations. Cost Efficiency: Cost of AI tools and infrastructure relative to the time and money they save. Stakeholder Satisfaction: Feedback from the teams who rely on the tools you build. Why Join Advantage HQ This is an opportunity to lead how AI is put to work inside a rapidly scaling creator-led growth business. You will have the autonomy to decide which processes to transform, choose the right tools and architectures, and see your work used every day by every team in the company. You will work alongside experienced Growth, Creative, Media Buying, Client Services, and Technology teams, with direct access to leadership and the support to make real changes to how we work. We are looking for someone who wants to make a real operational difference, grow with a fast-moving team, and take ownership of systems with company-wide impact. Compensation & Location $24,000 - $48,000 USD total annual compensation, including base salary, performance bonus, and equity. Fully remote. We have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best. Compensation will be based on experience, technical depth, and the scope of the role. If you are excited to build AI systems, internal tools, and dashboards that change how a company works, and to put AI at the center of every team and process, we would love to hear from you.