GCP Agentic AI Engineer

Quick Facts

• Role: GCP Agentic AI Engineer

• Work model: Fully remote

Description

You will design and implement multi-step Agentic AI workflows and deliver solutions to production environments on Google Cloud, advising clients throughout the practical ML implementation process. The role focuses on solving complex machine learning challenges and building production-ready systems using Vertex AI, MLOps, Document AI, and Generative AI.

Responsibilities

• Collaborate long-term with an international top-tier IT consulting organization

• Act as a trusted technical advisor for clients and help solve complex ML/AI challenges

• Design and implement multi-step Agentic AI workflows for production environments

Requirements

• Bachelor’s degree (or equivalent practical experience) in Computer Science, Mathematics, Statistics, Engineering, or related fields

• Practical experience in machine learning and artificial intelligence with technical consulting and client-facing work

• Programming/scripting proficiency in Python, Perl, C, C++, or Java

• Strong expertise in Vertex AI, MLOps, Document AI, and Generative AI

• Proven experience building multi-step Agentic AI workflows using ADK, Agent Engine, LangChain, and AgentSpace

• Minimum 7 years of hands-on experience with recommendation engines, data pipelines, or distributed machine learning

• Practical understanding of production ML systems (feature extraction/definition, data validation, monitoring, model management) and deep learning frameworks (TensorFlow, PyTorch, XGBoost)

• Knowledge of data warehouse architectures, ETL/ELT, and analytics environments (Apache Beam, Hadoop, Spark, Hive)

• English level B2 or C1 for comfortable communication in an international environment

• Availability ASAP (up to max one-month notice with effect at the end of the month)

Benefits

• Long-term cooperation with pay 140–180 PLN net/hour + VAT

• Support for starting and running a business

• Fast recruitment process: two technical interviews with managers (online, up to 1 hour each)

• Fully remote work

• Private medical care and Multisport card

• Modern equipment provided with software and configuration