Senior Agentic AI Engineer (Google Cloud)

Quick Facts

• Focus: Agentic AI on Google Cloud
• Key areas: GenAI/LLMs, document processing, ML engineering, MLOps

Description

Join projects designing, developing, and deploying advanced Agentic AI systems on Google Cloud Platform. You’ll build multi-step, multi-agent workflows using Google ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace, and also contribute to GenAI, intelligent document processing, and ML system optimization.

Role description

You will design AI architecture and implement production-ready solutions, supporting clients from concept and prototypes through deployment.

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
• Deliver Document Processing solutions: analyze, extract, and validate data from documents
• Support clients with complex Machine Learning problems
• Advise on feature extraction/definition, data validation, model monitoring, and managing model/feature lifecycle
• Design, develop, and optimize MLOps processes
• Collaborate with clients, technology partners, and product teams to deliver business-aligned solutions
• Recommend architectural approaches and help move from prototype to production

Requirements

• Hands-on experience designing and deploying AI/ML solutions on Google Cloud Platform (GCP) (required)
• Experience building agentic AI systems (multi-step workflows and multi-agent architectures) (required)
• Knowledge of Google technologies: ADK, Vertex AI, Agent Engine, and AgentSpace (required)
• Experience with LLMs/GenAI and frameworks such as LangChain (required)
• Knowledge of MLOps and ML engineering (ML system design, feature engineering, data validation, model monitoring) (required)
• Production experience, especially automated document processing (required)
• Ability to design technical solutions and work with clients (required)
• English C1 for working in an international team (required)

Benefits

• Long-term projects with major clients and growth across multiple IT areas
• Flexible engagement models: B2B contract, employment contract, or contract work
• Medicover (expanded with dentistry), FitProfit, and English lessons
• F45 gym training sessions at the office
• Internal referral program
• IT certification funding
• Hybrid, remote, or on-site work depending on the project
• Team events and integration trips
• Charity involvement and social initiatives (#PomagamyNexio)