AI Engineer | Global

Colliers • Warszawa, MZ, PL

Actively Hiring

Full-time Posted 2 months ago

Responsibilities

check_circle Work with business stakeholders to identify and understand business problems and architect AI-powered systems to address them.
check_circle Design, build, and maintain sophisticated AI systems, including autonomous agents, generative workflows, and fine-tuned Large Language Models (LLMs).
check_circle Partner with software engineering, product, and infrastructure teams to integrate AI capabilities into new and existing applications.
check_circle Research, evaluate, and implement state-of-the-art AI technologies, models, and platforms to ensure our systems remain on the cutting edge.
check_circle 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.
check_circle Act as a subject matter expert, staying current with the latest advancements in Generative AI, Agentic systems, and the broader AI landscape.
check_circle 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.

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).

check_circle Cooperation based on B2B contract;
check_circle Collaboration with stakeholders located in different time zones (core in EMEA time + short overlap with APAC or NA);
check_circle Mostly remote cooperation, with office visits depending on business needs (approx. 1-2 times/month);
check_circle International environment, working in English;
check_circle Private healthcare with rehabilitation, 6 additional days off yearly for parents, cafeteria programme and other benefits;
check_circle Internal training program;
check_circle Job in a company that cares about the sustainable development of the organization;
check_circle 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.

Fulltime Remote Ai Ai Engineer