AI Application Engineer: Agentic AI & LLM Workflows

Belmont Lavan; Francescas; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

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

You will transform business requirements into AI applications capable of reasoning through tasks, retrieving information, interacting with tools and enterprise systems, requesting human approval when required, and completing business processes.

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.

Responsabilités

• 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.

Connaissances

AI/LLM development

Agentic workflows

Python development

Production deployment

Software collaboration

Outils

LangGraph

LangChain

Kubernetes

Docker

FastAPI

AWS

Azure

GCP

Description du poste

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

You will transform business requirements into AI applications capable of reasoning through tasks, retrieving information, interacting with tools and enterprise systems, requesting human approval when required, and completing business processes.