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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python / Agentic AI Engineer - **Company:** The Capital Market Company Group - **Location:** Brussel, Belgium - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Continuous Integration, Software Design Patterns, Information Retrieval, Python (Programming Language), Object-Oriented Software Development, Software Engineering, Systems Architecture, Management of Software Versions, Web Application Frameworks, Data Logging, Enterprise Software Applications, ReactJS, Large Language Models, Indexer, Backend, Fastapi, AngularJS, Virtual Agents - **Published:** August 20, 2026 - **Apply:** https://job-boards.greenhouse.io/capco/jobs/7778007 ## About the Role * Fluent in English and fluent in Dutch or French. * 5+ years of professional experience building enterprise-grade Python applications, with strong software engineering fundamentals. * Proven experience designing and deploying Agentic or LLM-powered systems in production, ideally within enterprise or regulated environments. * Strong expertise applying large language models to complex automation, information retrieval, and decision-support problems. * Experience designing agentic architectures, including orchestration, tool usage, planning workflows, and system-level reasoning patterns. * Experience building LLM systems that combine reasoning, tool access, and dynamic information retrieval, beyond simple prompt pipelines. * Deep proficiency in Python, including modern frameworks, OOP, design patterns and best practices. * Experience developing production APIs and backend services that integrate with enterprise systems and data sources. * Demonstrated experience building reliable AI systems beyond prototypes, with attention to testing, monitoring, evaluation, and operational stability. ## Description * Design and implement scalable, production-grade Python services that leverage LLMs and Agentic architectures. * Design and implement robust agent workflows and orchestration patterns to automate complex business processes in regulated enterprise environments. * Build and maintain reliable AI-enabled backend systems, including orchestration layers, tool integrations, knowledge access mechanisms, and observability. * Design modern knowledge access architectures for LLM systems, including retrieval strategies, semantic indexing, and structured interfaces to enterprise data sources. * Apply strong software engineering practices (testing, CI/CD, monitoring, structured logging, versioning of prompts and models) to ensure reliability and maintainability of AI systems. * Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and workflows. * Work closely with stakeholders to translate business requirements into secure, compliant, and scalable AI-driven solutions. * Contribute to system architecture decisions including agent orchestration, reasoning workflows, knowledge access strategies, and model integration patterns. * Optionally contribute to user interfaces using Angular or React to support AI-powered applications. * Ensure systems meet enterprise standards for security, reliability, and compliance. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Optimizing Discovery: PostgreSQL's Role in Transforming GetYourGuide's Search](https://www.wearedevelopers.com/videos/1647-optimizing-discovery-postgresql-s-role-in-transforming-getyourguide-s-search) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)