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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Spyrosoft • Wrocław, Lower Silesian Voivodeship, Poland
Role & seniority: Low Code AI Automation Engineer; mid-level (2+ years in automation/low-code) with emphasis on enterprise-scale solutions
Stack/tools: Microsoft Copilot Studio; Azure AI; Power Platform (Power Automate, Power Apps, Dataverse); REST APIs; Microsoft Graph; Azure AI Search; vector databases; embedding models; LangChain; Cognitive Services; AI Builder; DevOps; Agile/Scrum
Architect and deploy sophisticated AI agents using Copilot Studio; embed into Power Apps and orchestrate workflows with Power Automate
Develop custom connectors, integrate data sources (REST, Graph, Dataverse), and enable enterprise data access
Implement RAG patterns and LLM orchestration; ensure outputs are accurate, grounded, and context-aware
2+ years in automation/low-code development
Experience with Microsoft Copilot Studio and AI Builder
Proficiency in Power Platform components (Power Automate, Power Apps, Dataverse)
Familiarity with Azure AI Foundry, Cognitive Services; prompt engineering and multi-agent/LLM orchestration (LangChain)
Bachelor’s degree in CS or related field; strong analytical, problem-solving, and communication skills
Microsoft Power Platform certifications (PL-200/PL-400/PL-600) highly preferred
Python for AI scripting/data processing
Familiarity with Microsoft 365 Agents SDK; rapid prototyping of generative AI solutions
Exposure to Google Cloud Platform AI s
About the Role We are seeking a visionary Low Code AI Automation Engineer to bridge the gap between enterprise workflows and Generative AI. In this role, you won’t just build automations - you will architect intelligent ecosystems. You will design, deploy, and optimize autonomous AI agents that leverage Microsoft Copilot Studio, Azure AI, and the Power Platform to solve complex business challenges and deliver scalable, enterprise-ready solutions. Responsibilities Agentic Solution Design Architect and deploy sophisticated AI agents using Microsoft Copilot Studio Embed AI agents into Power Apps and orchestrate advanced workflows with Power Automate Advanced Integration Develop custom connectors and integrate REST APIs, Microsoft Graph, and Dataverse Enable seamless access to diverse enterprise data sources RAG & LLM Orchestration Implement Retrieval-Augmented Generation (RAG) patterns using Azure AI Search, vector databases, and embedding models Ensure AI outputs are accurate, grounded, and context-aware Technical Excellence Lead troubleshooting, performance optimization, and security hardening Ensure solutions are scalable, compliant, and aligned with enterprise architecture standards Lifecycle & Delivery Participate in the full SDLC within an Agile/Scrum environment Conduct peer code reviews and adhere to DevOps best practices Strategic Consulting Define technical capabilities and constraints for client-facing projects Translate business requirements into high-performing low-code AI solutions Required Qualifications 2+ years of hands-on experience in automation and low-code development Demonstrated experience with Microsoft Copilot Studio and AI Builder Bachelor’s degree in Computer Science or a related technical field Strong proficiency with Power Platform components (Power Automate, Power Apps, Dataverse) Familiarity with Azure AI Foundry and Cognitive Services Solid understanding of prompt engineering, multi-agent workflows, and LLM orchestration frameworks (e.g., LangChain) Microsoft Power Platform certification (PL-200, PL-400, or PL-600) highly preferred Strong analytical and problem-solving skills Excellent communication skills with the ability to collaborate across technical and business teams Nice to have Experience using Python for AI scripting or data processing Familiarity with Microsoft 365 Agents SDK and rapid prototyping of generative AI solutions Exposure to Google Cloud Platform and its AI services Knowledge of AI safety testing frameworks and ethical AI implementation Experience working in highly regulated industries (e.g., Healthcare, Finance) or technical consulting environments