AI Application Engineer - LangGraph & Agentic AI
New
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Belmont Lavan LtdAI Application Engineering
Amsterdam, North Holland, Netherlands. Francescas, Nouvelle-Aquitaine, France. London, England, United Kingdom. Stuttgart, Baden-Württemberg, GermanyFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonGCPAzureFastAPIPrompt EngineeringLangChain
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.
- Knowledge of LangChain and LangSmith (desirable).
- Familiarity with multi-agent systems and AI workflow orchestration.
- Experience with vector databases, Kubernetes, Docker, and FastAPI (desirable).
Responsibilities
- Design and develop AI applications using LangGraph and LLM technologies.
- Build single and multi-agent solutions capable of executing complex, multi-step business processes.
- Design stateful workflows incorporating reasoning, tool usage, validation, and human-in-the-loop approvals.
- Implement Retrieval-Augmented Generation (RAG) solutions connected to enterprise data sources.
- Develop evaluation frameworks and automated tests to optimize AI reliability, accuracy, and latency.
- Deploy and operate AI applications in cloud environments with robust monitoring and observability.
- Collaborate with stakeholders to identify valuable use cases and translate business requirements into agentic architectures.
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