Senior Agentic AI Engineer (Google Cloud)

Quick Facts

• Role: Senior Agentic AI Engineer

• Platform: Google Cloud Platform (GCP)

• Focus: Agentic AI, GenAI, document processing, and MLOps

Description

Join projects focused on designing, developing, and deploying advanced AI solutions on Google Cloud Platform. The main area is Agentic AI—building multi-step agent systems and multi-agent workflows using Google ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace—plus Generative AI, intelligent document processing, and Machine Learning optimization.

Responsibilities

• Design and implement advanced Agentic AI solutions, including multi-step workflows and multi-agent systems

• Build, orchestrate, and integrate AI agents using Google ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace

• Design AI architecture and deploy solutions on Google Cloud Platform

• Develop applications using Generative AI and Large Language Models

• Design and deliver document processing solutions (automatic analysis, extraction, and validation of data from documents)

• Support clients in resolving complex Machine Learning system challenges

• Advise on feature extraction/definition, data validation, model monitoring, and feature/model lifecycle management

• Design, develop, and optimize MLOps processes

• Collaborate with clients, technology partners, and product teams to deliver solutions aligned with business needs

• Recommend architectural solutions and support the transition from concept/prototype to production deployment

Requirements

• Practical experience designing and deploying 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

• Experience with LLMs and GenAI, using frameworks for agentic applications such as LangChain

• Knowledge of MLOps and ML engineering (ML system design, feature engineering, data validation, model monitoring)

• Experience delivering production AI solutions, especially automated document processing

• Ability to design technical solutions and collaborate with clients

• English proficiency at C1 level for international team collaboration

Benefits

• Stability with long-term projects and opportunities to grow across different IT areas

• Flexible work arrangements: B2B contract, employment contract, or contract work

• Benefits: Medicover (expanded to dentistry), FitProfit, English lessons

• F45 gym training at the office

• Internal referral program

• Funding for IT certifications

• Hybrid, remote, or on-site work depending on the project

• Team events and integration trips

• Charity support initiatives (including #PomagamyNexio)