AI Engineer | EMEA at Colliers International EMEA

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

01 Oct, 26

Salary

0.0

Posted On

03 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Vector Databases, Generative AI, LLM Fine-tuning, Google Cloud Platform, Agent Development Kit, LangChain, LlamaIndex, MLOps, RAG, CI/CD, System Architecture, Evaluation Frameworks, English Communication

Industry

Real Estate

Description

Company Description Colliers International is a leading commercial real estate services company, providing a full range of services to real estate occupiers, developers and investors on a local, national and international basis. Services include brokerage sales and leasing (landlord and tenant representation), lease administration, real estate management, valuation, consulting, project management, project marketing and research. We provide our services across the core sectors (office, industrial, retail and hotel) as well as many specialised property types. Job Description About the role: As an AI Engineer at Colliers, you will architect and deploy sophisticated AI agents and generative workflows to revolutionize our business operations. You will be at the forefront of building intelligent systems that automate complex backend processes and empower our users with cutting-edge AI-driven tools. Working closely with business stakeholders, you will translate enterprise challenges into scalable, production-grade AI solutions on the Google Cloud Platform. Key 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. 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). 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. Additional Information Check our Warsaw Newffice | Colliers

Responsibilities

Architect and deploy sophisticated AI agents and generative workflows to automate complex backend business processes. Manage the end-to-end MLOps lifecycle on Google Cloud Platform, including data pipelines and model deployment.