AI Engineer

Our requirements

• Minimum 4 years of demonstrable experience in software engineering, machine learning, or applied AI development.
• Hands-on experience working with LLMs and generative AI technologies in a production or near-production environment.
• Strong programming skills in Python and/or another primary language used in AI/software engineering.
• Experience building LLM-powered applications using APIs.
• Practical experience designing and implementing RAG systems.
• Hands-on experience with the Azure AI stack, especially Azure OpenAI Service, Azure AI Search, Azure AI Foundry / AI Studio, or Azure AI Services.
• Understanding of vector databases, semantic search, and knowledge retrieval architectures.
• Familiarity with agentic AI orchestration frameworks.
• Experience with Microsoft Copilot Studio, Power Automate, or the wider Power Platform ecosystem.
• Experience working with structured and unstructured data.
• Ability to communicate complex AI concepts clearly and persuasively to non-technical stakeholders.
• Experience translating business problems into technical AI solutions.
• Strong problem-solving skills and the ability to work independently in a fast-paced, iterative environment.
• Fluency in Polish and advanced English communication skills, with the ability to take a stand and be held accountable for technical decisions.

Optional

• Experience with Azure Databricks, PySpark, Unity Catalogue, or MLflow.
• Experience with Azure Document Intelligence.
• Experience with AI governance frameworks, responsible AI practices, or enterprise regulatory compliance.
• Experience with ML pipelines, medallion architecture, feature engineering, or classical ML models on a cloud platform

Your responsibilities

• Design, develop, and deploy AI-powered solutions, including RAG pipelines, multi-agent systems, AI copilots, and intelligent document review tools.
• Build AI-based systems using structured and unstructured data sources.
• Develop automated workflows and intelligent agents that improve operational efficiency and streamline project delivery processes.
• Design and build Copilot agents for internal teams using Microsoft Copilot Studio, Microsoft 365, and Power Automate.
• Build and maintain solutions on the Azure AI stack, including Azure OpenAI Service, Azure AI Search, Azure AI Foundry / AI Studio, Azure Databricks, and Azure Document Intelligence.
• Integrate AI capabilities with enterprise platforms such as SharePoint, Teams, Microsoft 365, and Power Platform.
• Rapidly prototype AI solutions and validate them with business users.
• Translate business challenges into practical, scalable technical solutions.
• Ensure solutions are secure, scalable, and aligned with AI governance, data privacy, and enterprise architecture standards.
• Evaluate emerging AI tools, frameworks, and models, recommending adoption where they create measurable business value.
• Contribute to engineering practices, documentation standards, and the team’s technical knowledge base.
• Communicate AI concepts clearly to non-technical stakeholders, including operational teams, project teams, and senior leadership.

About the project

This is how we organize our work

What we offer

• Stable, long-term, full-time collaboration.
• Remote work within Poland and flexible working hours.
• High engineering culture with a focus on growth and learning.
• Multinational teams.
• Benefits: Private medical care, Multisport card, and workation (work for a week from Barcelona or elsewhere).

Benefits

• sharing the costs of sports activities
• private medical care
• remote work opportunities
• integration events

Rite NRG sp. z o.o.