Senior Agentic AI Engineer (Google Cloud)

Quick Facts

Role: Senior Agentic AI Engineer (Google Cloud)

Description

Design, develop, and deploy advanced Agentic AI solutions on Google Cloud Platform. Build multi-step multi-agent workflows with Google’s agent tooling (Google ADK, Agent Engine, AgentSpace, Vertex AI) and support Generative AI, intelligent document processing, and ML/MLOps optimization. Work with customers to move from prototypes to production-ready implementations.

Responsibilities

• Design and implement advanced Agentic AI systems, including multi-stage workflows and multi-agent architectures.
• Build, orchestrate, and integrate AI agents using Google ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace.
• Design AI solution architecture and implement it on Google Cloud Platform.
• Develop applications leveraging Generative AI and Large Language Models.
• Deliver document processing solutions: automatic analysis, extraction, and validation of data from documents.
• Help clients solve complex Machine Learning system challenges.
• Advise on feature extraction/definition, data validation, model monitoring, and lifecycle management for features and models.
• Design, develop, and optimize MLOps processes.
• Collaborate with customers, technology partners, and product teams to deliver business-aligned solutions.
• Recommend architectural approaches and support production deployments from concept and prototypes.

Requirements

• Practical experience designing and implementing AI/ML solutions on Google Cloud Platform (GCP) (required).
• Experience building agentic AI systems, including multi-step workflows and multi-agent architectures (required).
• Knowledge of Google technologies: ADK, Vertex AI, Agent Engine, AgentSpace (required).
• Experience working with LLMs/GenAI and frameworks for agentic apps, e.g., LangChain (required).
• Knowledge of MLOps and ML engineering: ML system design, feature engineering, data validation, model monitoring (required).
• Experience creating production AI solutions, especially automated document processing (required).
• Ability to design technical solutions and collaborate with customers (required).
• Excellent English (C1) for working in an international team (required).

Benefits

• Long-term projects and collaboration with leading companies.
• Flexible engagement models: B2B contract, employment contract, or assignment.
• Medicover (expanded with dentistry), FitProfit, and English lessons.
• F45 gym training at the office.
• Employee referral program.
• Financing for IT certifications.
• Hybrid, remote, or onsite setup depending on the project.
• Team events and integration trips.
• Support for charitable initiatives and community impact programs.