labhouse - AI Engineer Marketing Tools

• You've already done this before — you've walked into a company, spotted where AI could solve a real marketing problem, and built the solution yourself, end to end. You're not looking for your first shot at this. • Strong, proven experience working with LLMs in production — prompting, fine-tuning, RAG, or agent-based systems • Deep knowledge of agent frameworks and how to design multi-step, tool-using workflows • Proven experience building AI tools or automations specifically for Marketing — reporting automation, creative generation, campaign optimization, attribution modeling, or similar • Solid understanding of how a digital marketing department operates: user acquisition, growth channels, performance marketing, SEO, ASO, ASA, and attribution • Strong Python skills and comfort integrating APIs, webhooks, and third-party tools (ad platforms, analytics, MMPs) • Business vision — you understand how a marketing team operates and can spot high-leverage opportunities for automation without being told where to look • Comfortable working in fast-moving, data-heavy environments where speed and iteration matter • Ability to work autonomously, prioritize based on impact, and ship without waiting for perfect conditions • You live and breathe AI tools — not just LLM APIs, but the broader ecosystem of agents, copilots, and automation platforms. You stay on top of the state of the art and know how to turn new capabilities into practical, working tools fast. • You communicate clearly with both technical and non-technical stakeholders. You know how to interview a team about their pain points, translate that into a technical solution, and explain the result in terms they care about. • Experience with agent frameworks (LangChain, LlamaIndex, CrewAI, or similar) • Experience with automation/workflow platforms (n8n, Zapier, Make) • Experience building tools involving data pipelines, dashboards, or reporting systems • Prior experience in a startup or fast-moving, resource-constrained environment • 2. Hiring Manager Interview: A deep dive into your experience. • 3. Technical Assessment: Showcase your expertise through a practical task. • 4. Final Interview: A conversation with our leadership team to align on vision and expectations. • 5. Offer: Join our team and lead the development of our future-shaping apps! • YOU SHOULD KNOW: • Labhouse is proud to be an equal-opportunity employer. However you identify or whatever your journey to this point, we welcome all candidates to apply for the position that inspires them. • Come join us and help us build a company that everyone is proud to be part of.