Automation AI Engineer

Quick Facts

• Role: Automation AI Engineer

Description

Build and deliver production-ready process automations and Agentic AI solutions based on LLMs, AI copilots, and RAG. You will design data flows and scalable, secure architectures, integrating systems via REST APIs, webhooks, and OAuth. The role is hands-on from concept to production and includes developing AI-based agents for business automation.

Responsibilities

• Design and build process automation and Agentic AI solutions (LLM, AI copilots, RAG)
• Create data pipelines, ETL flows, and system integrations using REST APIs, webhooks, and OAuth
• Develop integrations in cloud environments and with workflow/orchestration platforms
• Translate business requirements into scalable and secure technical architecture

Requirements

• Very good knowledge of Python or C#
• Experience integrating systems (APIs, Microsoft Graph API) and knowledge of SQL databases including PostgreSQL and Cosmos DB
• Experience with at least one automation platform: Azure Logic Apps / Power Automate / UiPath / n8n / Make / Apache Airflow / Azure Data Factory
• Cloud knowledge (preferred Microsoft Azure): Azure Functions, Azure OpenAI, Azure DevOps, plus CI/CD tools, Git, and Docker
• Practical experience using LLM, Generative AI, and prompt engineering in business automations
• Proactive, independent problem-solving mindset
• Ability to communicate effectively with business and technical partners
• Practical English skills at least C1 for daily written and spoken communication with English-speaking clients and colleagues

Benefits

• B2B contract
• 100% remote work
• Real influence on the client’s project architecture and large-scale GenAI implementations