Summary: Pyyne is seeking an AI Automation Engineer to identify opportunities, implement LLMs into business workflows, and act as a consultant, building real AI-powered solutions for clients. Highlights: 1. Work on complex, high-impact data projects with real company influence 2. High-impact role building Applied AI services and creating business value 3. Lead discovery, analysis, building, and deploying AI automation solutions **Let’s build Pyyne together** ------------------------------ Are you interested in working on complex, high\-impact data projects while actively contributing to the growth of an international tech consultancy? At Pyyne, you combine hands\-on technical work with real influence over how the company evolves. We are looking for a Data Engineer to join our team and work from Porto, collaborating with our team in Brazil, Argentina, the United States, and Sweden **About the role:** ------------------- Pyyne is seeking an AI Automation Engineer with experience identifying opportunities for and implementing LLMs into business workflows to work as a consultant. This is a high\-impact role for Pyyne as we build up our Applied AI services and continue to create real business value for our clients. A successful candidate in this role will be comfortable working with non\-technical stakeholders to map current business workflows and pain points into real AI\-powered solutions. They will be responsible for every step of the process, from client discovery and business analysis to building and deploying the identified solution. **Key Responsibilities** * Run structured discovery sessions with clients to map current workflows, pain points, and manual bottlenecks * Identify realistic AI automation opportunities — and just as importantly, tell clients when AI isn't the right tool * Build business cases for automation initiatives: time saved, error reduction, cost impact * Prioritize a roadmap of opportunities based on feasibility, ROI, and client readiness * Maintain trust with clients by setting honest expectations and delivering on them * Translate discovery findings into working automations using tools like n8n, Zapier, Make, LangChain, or custom Python pipelines * Integrate LLMs (OpenAI, Claude, Gemini, etc.) into internal tools, data pipelines, and business processes * Write clean, maintainable code — Python primarily, with some JS/TS as needed * Monitor, maintain, and iterate on automations post\-launch **Must Have Skills:** * 3\+ years of overall engineering experience, with at least 1–2 years working with AI/LLM tools in production * 3\+ years of experience working with APIs, webhooks, and data transformation * 2\+ years of experience with Python as a primary language * 2\+ years of experience with workflow automation platforms (n8n, Zapier, Make, etc.) * Comfort working with JavaScript and/or TypeScript as needed * Proven ability to work directly with non\-technical stakeholders — you can run a discovery session, not just a standup * Ability to scope your own work — you can walk out of a client meeting and know what to build next **Nice to Have Skills:** * Experience with RAG pipelines, vector databases, or agent frameworks * Background in consulting, professional services, or client\-facing engineering * Familiarity with process mapping or business analysis methodologies * Experience building internal tooling or lightweight dashboards