AI Product Engineer

We’re driven by ambition and guided by a bold vision for the years ahead. As we scale our profitable ecosystem of tools and services, we’re seeking a standout AI Engineer to help us go to the next level. In this position you will report directly to the Product Engineering Manager . Who we are Zubale is a technology company that enables retailers to win in eCommerce. We serve a wide range of retailers from supermarkets, specialty stores, pharmacies, department stores and fashion brands across Mexico, Brazil, Chile, Costa Rica, Peru and Colombia. How? We have three key products: Flexifleet : Freelancer Marketplace to perform picking, packing, and delivery tasks for retailers and aggregators. Fulfillment Optimizer : Modular Software to increase productivity in eCommerce picking, packing and delivery. Consumer Connect : AI WhatsApp Conversational Commerce to boost sales and elevate customer experience. We are passionate about helping brands, aggregators, and retailers optimize their eCommerce operations, lower costs, and boost profitability. Backed by over $70M USD in venture capital, we’ve delivered consistent growth over the past six years and completed more than 100 million orders through our platform. Today, we serve 100+ customers and engage thousands of freelancers across our network. And this is just the beginning. We're building a profitable, scalable ecosystem — and our vision is to become the #1 partner for retailers to grow their eCommerce business. Who you are An Impact-Driven Product Creator: Driven to solve business problems and create "wow" moments for users by delivering high-value functionality within microservices and Agentic AI systems. An Advocate for User Experience and Product Discovery: You leverage user empathy to lead solution design, creating prototypes, MVPs, and running experiments to validate hypotheses before scaling the final requirements. Owner of the Building Process: You guide the team on methodology, technical standards, and quality, ensuring the development process is efficient from planning and architecture to QA automation. An Engineer who Amplifies Impact with AI: You actively integrate Artificial Intelligence into your own workflow (research, architecture design, coding, QA) to boost personal productivity and improve solution design. Proactive and Hands-On: You maintain a curious mindset, constantly seeking out and proposing new Agentic AI techniques and innovative features to push the product forward. What you will do Ship high-impact products in multi-agents systems. Design, prototype, and deploy agentic LLM-based bots to assist customers via WhatsApp or other messaging platforms. Collaborate with product teams to understand user needs and translate them into conversational flows. Implement retrieval-augmented generation (RAG) and tool-use strategies to enhance bot capabilities. Continuously test and iterate on prompts, memory systems, and interaction models. Monitor bot performance and improve user experience based on feedback and data. Develop and manage multi-agent systems, ensuring seamless collaboration between agents across various projects. Integrate agents with enterprise platforms like Google Gemini Enterprise, or other multi-agent frameworks like LangGraph to enhance productivity and information retrieval. Stay up to date on emerging LLM techniques and propose innovative features. Have the right mindset: hands-on, curious, excited about building amazing agentic products that push the company toward growth. The skills and experience you will bring Studies: Bachelor's degree or equivalent experience in quantitative field (Computer Science, Engineering) Languages: Python, Node.js, SQL Tools: LangChain, multi-agent frameworks (LangGraph, CrewAI, AutoGen), RAG pipelines, LLM APIs (e.g., OpenAI, Claude), Vector DBs (e.g., Pinecone, Weaviate), Docker, FastAPI, Git Background in Backend or Machine Learning Practical experience using LLMs (OpenAI, Claude/Anthropic, etc.), prompt engineering, and chaining tools. Strong interest in user experience and how AI can solve real customer pain points. Comfortable talking to data scientists, product managers and non-technical stakeholders. Proven experience in implementing RAG pipelines and a solid understanding of memory modules or experience working with autonomous agents. Familiarity with multi-agent frameworks (LangGraph, AutoGen, CrewAI). Seniority level Mid-Senior level Employment type Full-time Job function Software Development and Retail Referrals increase your chances of interviewing at Zubale by 2x Get notified about new Product Engineer jobs in Latin America . Bogota, D.C., Capital District, Colombia 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr