> Markdown version of [/jobs/ext/1884112-ml-engineer-manager-ai-conversation-platform](https://www.wearedevelopers.com/jobs/ext/1884112-ml-engineer-manager-ai-conversation-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ml Engineer Manager, Ai Conversation Platform - **Company:** The Consulting Solutions - **Location:** Málaga, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Machine Learning, Large Language Models, Backend, Stripe, Machine Learning Operations - **Published:** August 1, 2026 - **Apply:** https://www.buscojobs.com.es/ml-engineer-manager-ai-conversation-platform-en-malaga-ID-364141622 ## About the Role Have at least 4 years of experience managing ML teams Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor. Lead by example in high?growth, high?impact, ambiguous environments Have experience building shipping ML systems. Hold yourself and others to a high bar when working with production systems. Thrive in a collaborative cross?functional environment Preferred qualifications Experience in shipping LLM RAG systems #J-*****-Ljbffr ## Description Engineering Manager, AI Conversation PlatformAbout the team: The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by automating the easy tasks, and assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We're developing RAG based systems on the latest LLMs as well as fine?tuning our own models. We're an end?to?end team going from ideas to models to shipping in production.What you'll doResponsibilitiesDriving an ambitious vision for AI/ML that benefits our usersSetting the technical process direction for the team based on business goalsBrainstorm and coordinate product integrations with partner teamsProposing new ideas and building prototypesBe an integral part of a larger ML community internally and externallyHire develop a world?class team to deliver high?quality ML systems.Coach engineers to help them grow in their careers and maintain a high barWho you areWe are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.Minimum requirementsHave at least 4 years of experience managing ML teamsExperience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor.Lead by example in high?growth, high?impact, ambiguous environmentsHave experience building shipping ML systems.Hold yourself and others to a high bar when working with production systems.Thrive in a collaborative cross?functional environmentPreferred qualificationsExperience in shipping LLM RAG systems#J-*****-Ljbffr ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Navigating Growth, Scaling Challenges, and Office Expansions with David Singleton, CTO at Stripe](https://www.wearedevelopers.com/videos/100362-navigating-growth-scaling-challenges-and-office-expansions-with-david-singleton-cto-at-stripe) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)