AI Engineer | Global (based in Poland)

Colliers Poland Sp. z o.o. is a global advisory firm operating in the commercial real estate market with offices in 70 countries and employing 24,000 people. In Poland, Colliers has been operating since 1997 with offices in 7 regions including Warsaw, Poznań, Kraków, Trójmiasto, Wrocław, Katowice, and Łódź. The company offers a full range of services related to the real estate market and has been awarded multiple prestigious industry awards. Colliers Poland is a member of the Friendly Recruitment coalition and has received the Best Employer title awarded by Kincentric several times between 2017 and 2025. It is also a partner of the Responsible Business Forum focusing on ESG criteria and related environmental, social, and governance initiatives.

• Minimum 2 years of professional experience as an AI Engineer, Machine Learning Engineer, or related role.
• Mastery of Python and core AI/ML libraries.
• Strong experience with SQL and hands-on experience with vector databases (e.g., Agent Platform Vector Search) for Retrieval-Augmented Generation (RAG) implementations.
• Proven ability to build, fine-tune, and deploy production-grade Generative AI systems and multi-step agentic workflows.
• Experience with modern agent frameworks such as Google's Agent Development Kit (ADK), LangChain, or LlamaIndex.
• Strong proficiency in the GCP ecosystem, including deploying and managing AI solutions using Agent Platform.
• Understanding challenges of deploying AI in production such as model limitations, scalability, and reliability.
• Experience designing evaluation frameworks measuring accuracy, latency, and cost of Generative AI workflows.
• Ability to execute work from design through implementation with some guidance.
• Strong verbal and written communication skills, able to articulate complex AI concepts.
• English language proficiency at C1 level for communication and collaboration.

• Work with business stakeholders to identify and architect AI-powered systems addressing business problems.
• Design, build, and maintain AI systems including autonomous agents, generative workflows, and fine-tuned Large Language Models (LLMs).
• Partner with software engineering, product, and infrastructure teams to integrate AI capabilities into applications.
• Research, evaluate, and implement state-of-the-art AI technologies and platforms.
• Manage end-to-end MLOps lifecycle on Google Cloud Platform, including data pipelines, CI/CD, monitoring, and scalability.
• Act as a subject matter expert on Generative AI, agentic systems, and the broader AI landscape.
• Communicate complex AI architectures and performance metrics to technical and non-technical stakeholders.
• Create and maintain engineering documentation such as system architecture diagrams, model cards, code docs, and runbooks.

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