AI Application Engineer: LangGraph & Agentic Automation

Belmont Lavan Ltd; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Belmont Lavan Ltd. is seeking an experienced AI Application Engineer to design and build intelligent applications powered by LLMs, LangGraph, and modern agentic AI technologies.

You will convert business requirements into AI applications capable of reasoning through tasks, retrieving information, interacting with tools and enterprise systems, requesting human approvals, and completing business processes. The role sits at the intersection of AI engineering, software development, workflow

Qualifications

• 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.

Responsibilities

• Design and develop AI applications using LangGraph and LLM technologies.
• Build agents capable of executing complex, multi-step business processes.
• Design stateful workflows incorporating reasoning, tool usage, validation, approvals, and exception handling.
• Develop single-agent and multi-agent solutions where appropriate.
• Translate business requirements into practical agentic AI architectures.

Skills

AI/LLM applications

LangGraph

Python

LangChain

Multi-agent systems

Tools

AWS

Azure

GCP

Docker

Kubernetes

FastAPI

Job description

Belmont Lavan Ltd. is seeking an experienced AI Application Engineer to design and build intelligent applications powered by LLMs, LangGraph, and modern agentic AI technologies.

You will convert business requirements into AI applications capable of reasoning through tasks, retrieving information, interacting with tools and enterprise systems, requesting human approvals, and completing business processes. The role sits at the intersection of AI engineering, software development, workflow