Agentic AI Product Engineer

Description

Job Summary: Aeolabs is seeking a Product Engineer with technical capability and curiosity to integrate AI agents into high-value solutions, serving as a technical facilitator to prototype and connect agents. Key Highlights: 1. Technical facilitator role in Agentic AI 2. Development of AI logic (single and multi-agent) using advanced frameworks 3. Focus on rapid prototyping and agility At Aeolabs, we seek a Product Engineer with a builder mindset. We do not seek isolated specialists focused on a single technology, but rather professionals with technical ability and curiosity to integrate AI agents into solutions that deliver real value. The Profile We are looking for a developer with a solid foundation in Python/Node who has transitioned into Agentic AI. Your role will be that of a technical facilitator: someone capable of prototyping an agent, connecting it to a database, and ensuring end users can interact with it. Responsibilities * Agent Development: Implement AI logic (single and multi\-agent) using frameworks such as LangGraph or LangChain. * System Integration: Build APIs and services that connect these agents with external tools and data sources. * RAG Implementation: Configure information retrieval pipelines to optimize model responses. * Environment Management: Deploy and monitor solutions in the cloud, ensuring system stability and efficiency. * User Interface: Develop basic components in React to enable interaction with the AI tools built. Technical Requirements We understand technology evolves rapidly. While we value learning ability, the following are required for this role: * Professional experience with Python (FastAPI) or Node.js. * Familiarity with building AI agents and RAG pipelines. * Experience working in containerized environments (Docker) and general knowledge of cloud services (Azure). * Ability to develop functional interfaces in React. * Experience with NoSQL databases (e.g., MongoDB). Especially Valued * Experience with orchestration using Kubernetes (AKS). * Knowledge of vector databases and observability. * Rapid prototyping mindset: ability to swiftly move from idea to minimum viable product with agility.