Python Engineer – LangGraph, AI Agents

🔥 7 hours ago

🌐 Netherlands, France, +2 more countries – Remote

🇳🇱 Netherlands – Remote 🇫🇷 France – Remote 🇬🇧 United Kingdom – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Belmont Lavan

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

Belmont Lavan is a bespoke Digital Recruitment Agency focused on connecting businesses with top web and digital talent across Europe. The company aims to transform the outdated practices of the recruitment industry by implementing modern methods and technologies. They specialize in various areas of recruitment, including web development, information security, and executive placements. Belmont Lavan emphasizes efficiency for clients by limiting the number of clients they take on, ensuring dedicated attention to each vacancy, and providing candidates with feedback throughout the recruitment process.

📋 Description

• 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 with APIs, databases, and enterprise systems • Develop reusable components and frameworks for agentic applications • Integrate LLMs into robust software applications • 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 single-agent and multi-agent architectures • Optimize agent workflows for reliability, latency, scalability, and cost • 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 • 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 optimize model selection, latency, and cost • 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 authentication, authorization, validation, and access controls • Ensure agent actions are auditable and appropriately controlled

🎯 Requirements

• 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: LangChain / LangSmith • Desirable: Multi-agent architectures • Desirable: Vector databases • Desirable: Kubernetes and Docker • Desirable: Infrastructure as Code • Desirable: Event-driven architectures • Desirable: AI observability and evaluation • Desirable: AI security and guardrails • Desirable: PostgreSQL or other relational databases • Desirable: Redis or similar caching technologies