Senior GenAI & ML Engineer for Scalable AI Agents

Software Careers; Kraków; On-site; PLN 364,000 - 374,000; Full time

Job summary

Google Kraków is seeking a Senior Software Engineer specialized in AI/ML and GenAI to design, develop, and deploy scalable ML systems for device automation and app analysis. You will advance generative AI agents and track KPIs to improve performance and reliability across large-scale platforms.

Join a dynamic team driving cutting-edge AI research and production, mentoring engineers and collaborating across groups to deliver impactful ML solutions in a fast-paced environment.

Qualifications

• Experience building scalable ML systems.
• Strong knowledge of GenAI and large language models.
• Proven ML engineering and deployment capabilities.

Responsibilities

• Design, develop, deploy, and maintain scalable ML systems for device automation and app analysis.
• Enhance AI-powered agents and define KPIs to evaluate performance.
• Provide technical leadership and mentor team members.

Skills

Software Development

ML Design

ML Infrastructure Optimization

Model Deployment

Model Evaluation

Data Processing

Debugging

Fine Tuning

GenAI Techniques

LLMs

Multi-Modal Models

Large Vision Models

Language Modeling

Computer Vision

Software Testing

Software Launching

Software Design

Software Architecture

Agentic Systems

Reinforcement Learning

Image Analysis

Advanced Statistics

Machine Learning Fundamentals

ML System Performance Metrics

ML System Reliability Metrics

Scalable Machine Learning Systems

Device Automation

App Analysis Platforms

Generative AI

Agentic AI

AI-Powered Agents

KPIs

Technical Leadership

Mentoring

Job description

Google Kraków is seeking a Senior Software Engineer specialized in AI/ML and GenAI to design, develop, and deploy scalable ML systems for device automation and app analysis. You will advance generative AI agents and track KPIs to improve performance and reliability across large-scale platforms.

Join a dynamic team driving cutting-edge AI research and production, mentoring engineers and collaborating across groups to deliver impactful ML solutions in a fast-paced environment.