AI Application Engineer – LangGraph, Agentic AI

🔥 0 minutes ago

🌐 Netherlands, France, +2 more countries – Remote

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

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Application 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 The company aims to transform the outdated practices of the recruitment industry by implementing modern methods and technologies.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 and build intelligent applications powered by LLMs, LangGraph, and agentic AI technologies • Transform business requirements into AI applications that reason through tasks, retrieve information, interact with tools and enterprise systems, request human approval, and complete business processes • Design stateful workflows with reasoning, tool usage, validation, approvals, and exception handling • Develop single-agent and multi-agent solutions • Integrate LLMs into production applications using prompt strategies, structured outputs, tool calling, and context management • Select models based on accuracy, capability, latency, security, and cost • Improve reliability, reduce hallucinations, and implement AI guardrails • Design and implement RAG solutions using enterprise documents, databases, APIs, and knowledge repositories • Develop retrieval, ranking, embedding, vector database, data, and context pipelines • Analyse business processes and design agentic automation combining LLM reasoning with deterministic business logic • Implement human-in-the-loop approval and escalation processes • Ensure automated actions are controlled, auditable, and reversible where appropriate • Develop evaluation frameworks, metrics, automated tests, observability, and continuous improvements for AI applications and workflows • Deploy and operate AI applications in cloud and enterprise environments • Implement monitoring, logging, tracing, performance management, retries, timeouts, fallbacks, recovery, deployment, and CI/CD practices • Collaborate with product managers, business analysts, software engineers, data scientists, architects, and business stakeholders • Communicate AI capabilities, limitations, risks, and implementation options • Help organisations identify realistic and valuable agentic AI use cases

🎯 Requirements

• Commercial experience developing AI/LLM applications • Hands-on experience with LangGraph and agentic workflow development • Strong Python development experience • Experience deploying AI applications into production • Strong understanding of LLMs, RAG, tool calling, structured outputs, and prompt engineering • Experience integrating AI applications with APIs, databases, enterprise systems, or SaaS platforms • Experience with cloud platforms such as AWS, Azure, or GCP • Experience with AI evaluation, monitoring, and observability • Desirable: LangChain / LangSmith • Desirable: Multi-agent systems • Desirable: AI workflow orchestration • Desirable: Vector databases • Desirable: Kubernetes • Desirable: Docker • Desirable: FastAPI • Desirable: Data pipelines • Desirable: MLOps • Desirable: AI security and governance • Desirable: Enterprise process automation • Desirable: Experience with financial services, healthcare, retail, manufacturing, or other complex enterprise environments