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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Engineer - LangGraph & AI Agents - **Company:** Belmont Lavan Bekijk Alle Vacatures - **Location:** Amsterdam, Netherlands - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Business Systems, Software as a Service, Databases, Continuous Integration, Relational Databases, Python (Programming Language), PostgreSQL, Open Source Technology, Redis, Software Deployment, Software Engineering, Systems Integration, Web Services, Data Logging, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Software Application Programming, Caching, Backend, Event Driven Architecture, Kubernetes, Low Latency, Deployment Automation, Enterprise Integration, Virtual Agents, Restful APIs, Software Version Control, Docker - **Published:** September 17, 2026 - **Apply:** https://www.careerjet.nl/job/nle02523272125e4c4f0589f2c118bf3d8/eaa ## About the Role * Strong commercial experience with Python. * Hands-on experience developing applications using LangGraph. * Experience building and deploying LLM-powered applications or AI agents. * Experience developing production APIs and backend services. * Strong understanding of software engineering principles, testing, version control, and CI/CD. * Experience with REST APIs and enterprise system integration. * Understanding of LLM concepts including prompting, tool calling, structured output, embeddings, and RAG. * Experience deploying applications on AWS, Azure, or GCP. Desirable Skills * LangChain / LangSmith * Multi-agent architectures * Vector databases * Kubernetes and Docker * Infrastructure as Code * Event-driven architectures * AI observability and evaluation * AI security and guardrails * PostgreSQL or other relational databases * Redis or similar caching technologies ## Description We are looking for a Python Engineer with hands-on LangGraph experience to build and deploy production-grade AI agents and agentic workflows. You will combine strong Python software engineering with modern LLM technologies to develop AI systems that can execute multi-step tasks, interact with business systems, use external tools, retrieve information, and operate reliably in production environments. This is a hands-on engineering role for someone who enjoys solving complex software problems and has experience taking AI/LLM solutions beyond prototypes into production., * Design, develop, test, and maintain AI agent applications using Python and LangGraph. * Build stateful, multi-step agent workflows with branching, looping, retries, and error handling. * Implement tool calling and integrations that allow agents to interact with APIs, databases, and enterprise systems. * Develop reusable components and frameworks for agentic applications. * Integrate LLMs into robust software applications rather than treating them as standalone chat interfaces. LangGraph Engineering * Build and maintain LangGraph-based workflows and agents. * Implement state management, persistence, checkpoints, and workflow recovery. * Develop human-in-the-loop workflows and approval mechanisms. * Design appropriate single-agent and multi-agent architectures. * Optimise agent workflows for reliability, latency, scalability, and cost. Production Engineering * Deploy AI applications into production environments. * Build APIs and services around AI agents. * Implement testing, logging, monitoring, tracing, and error handling. * Troubleshoot production issues and improve application reliability. * Contribute to CI/CD pipelines and automated deployment processes. LLM and RAG Integration * Integrate commercial and open-source LLMs into production applications. * Implement prompt templates, structured outputs, function/tool calling, and context management. * Develop RAG solutions using enterprise data sources. * Work with embeddings and vector databases where appropriate. * Evaluate model performance and optimise model selection, latency, and cost. Enterprise Integration * Integrate AI agents with REST APIs, databases, SaaS platforms, and internal business systems. * Develop secure tools and interfaces for agents to perform business actions. * Implement appropriate authentication, authorisation, validation, and access controls. * Ensure agent actions are auditable and appropriately controlled. ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) - [AI Agents Graph: Your following tool in your Java AI journey](https://www.wearedevelopers.com/videos/1550-ai-agents-graph-your-following-tool-in-your-java-ai-journey) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [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) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)