AI Engineer | Global (based in Poland)

Our requirements

• 2+ years of professional experience in an AI Engineer, Machine Learning Engineer, or related software engineering role.
• Mastery of Python and its core AI/ML libraries. This includes strong experience with SQL and hands-on experience with vector databases (e.g., Agent Platform Vector Search) for RAG implementations.
• Demonstrated ability to build, fine-tune, and deploy production-grade Generative AI systems and multi-step agentic workflows from the ground up.
• Proven experience with modern agent frameworks, specifically Google's Agent Development Kit (ADK) or similar toolkits like LangChain or LlamaIndex.
• Strong proficiency in the GCP ecosystem, with direct experience deploying and managing AI solutions using Agent Platform. You have a demonstrable understanding of the challenges of deploying AI in production environments (e.g., model limitations, scalability, reliability)
• Experience designing and implementing evaluation frameworks to rigorously measure and compare the accuracy, latency, and cost of different Generative AI workflows and agentic systems.
• Executing work from design through implementation with guidance when needed.
• You possess strong communication (verbal and written) skills, with the ability to articulate complex AI concepts and collaborate effectively with both technical and non-technical stakeholders.
• Strong communication and collaboration skills in English (C1).

Your responsibilities

• Work with business stakeholders to identify and understand business problems and architect AI-powered systems to address them.
• Design, build, and maintain sophisticated 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 new and existing applications.
• Research, evaluate, and implement state-of-the-art AI technologies, models, and platforms to ensure our systems remain on the cutting edge.
• Own and operate the end-to-end MLOps lifecycle on Google Cloud Platform, including building data pipelines, automating model deployment (CI/CD), monitoring system performance, and ensuring scalability.
• Act as a subject matter expert, staying current with the latest advancements in Generative AI, Agentic systems, and the broader AI landscape.
• Communicate complex AI architectures, capabilities, and performance metrics to both technical and non-technical stakeholders.
• Create and maintain comprehensive engineering documentation, including system architecture diagrams, model cards, code documentation, and operational runbooks.

About the project

What we offer

• Cooperation based on B2B contract;
• Collaboration with stakeholders located in different time zones (core in EMEA time + short overlap with APAC or NA);
• Mostly remote cooperation, with office visits depending on business needs (approx. 1-2 times/month);
• International environment, working in English;
• Private healthcare with rehabilitation, 6 additional days off yearly for parents, cafeteria programme and other benefits;
• Internal training program;
• Job in a company that cares about the sustainable development of the organization;
• Working in a company with the titles: Best Employer 2017 and 2019 awarded by Kincentric (formerly AON) and Investor in Human Capital 2019, 2021, 2022, 2023, 2024 and 2025.

Benefits

• private medical care
• fruits
• integration events
• corporate library
• coffee / tea
• leisure zone
• charity initiatives
• przyjazna atmosfera
• opieka psychologiczna
• dodatkowe dni wolne dla rodziców (6 dni rocznie)
• szkolenia i kursy

Colliers Poland Sp. z o.o.