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SoftwareOne

Open 18d

AI Engineer

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Summary

AI Engineer at SoftwareOne's Data & AI practice designs and delivers practical AI solutions for clients across industries — intelligent assistants, voicebots, copilots, and RAG-based knowledge tools — building hands-on expertise with Microsoft Azure AI services, LLMs, and Generative AI. Remote role based in Poland.

  • Are you keen to develop your skills while building practical AI solutions using Microsoft Azure and the latest Generative AI technologies?

  • Do you want to create intelligent assistants, voicebots, and knowledge management solutions in a supportive team?

  • Is your next step to deliver innovative AI experiences for clients across different industries at a global leader in software and cloud?

Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Visa Requirements: Valid visa for Poland | Language Requirements: Fluent Polish and English | Learn more:

As our new AI Engineer, you will develop your expertise by designing and delivering AI-powered solutions within our Data & AI practice. You will gain hands-on experience with Microsoft Azure AI technologies while building intelligent applications that create business value through Generative AI, multimodal AI, intelligent automation, and advanced analytics. Working closely with solution architects, AI experts, and clients, you will help transform business requirements into practical AI solutions, leveraging data, documents, images, speech, video, and enterprise knowledge sources.

Key Responsibilities

  • Design and implement AI solutions using Azure AI services and Large Language Models

  • Build and optimize Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge sources

  • Develop AI assistants, copilots, intelligent automation workflows, and agentic AI solutions for business users

  • Create document understanding, information extraction, and knowledge retrieval solutions using Azure AI services

  • Integrate AI capabilities with business applications, APIs, and enterprise systems

  • Support deployment, monitoring, evaluation, and continuous improvement of AI applications

  • Evaluate and implement emerging AI capabilities, including multimodal AI, autonomous agents, and intelligent process automation

Skills

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