We are looking for an experienced AI Application Engineer to design and build intelligent applications powered by LLMs, LangGraph, and modern agentic AI technologies.
You will focus on transforming business.
Requisitos
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.This role sits at the intersection of AI engineering, software development, workflow automation, and business process transformation.RequirementsAgentic AI Application DevelopmentDesign 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.LLM Application EngineeringIntegrate LLMs into production applications.Develop prompt strategies, structured outputs, tool calling, and context-management approaches.Select appropriate models based on accuracy, capability, latency, security, and cost.Develop mechanisms to improve reliability and reduce hallucinations.Implement appropriate guardrails around AI-generated decisions and actions.RAG and Enterprise KnowledgeDesign and implement Retrieval-Augmented Generation (RAG) solutions.Connect AI applications to enterprise documents, databases, APIs, and knowledge repositories.Develop retrieval and ranking strategies to provide agents with relevant context.Work with embeddings and vector databases.Implement data and context pipelines supporting AI agents.Business Process AutomationAnalyse business processes and identify opportunities for agentic automation.Design AI workflows that combine LLM reasoning with deterministic business logic.Build agents capable of retrieving information, making d...