Senior Software Engineer, AI/ML, GenAI

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

# Senior Software Engineer, AI/ML, GenAIat Google • Kraków, PolandBack to jobs1. Home2. Jobs3. Poland4. Senior Software Engineer, AI/ML, GenAI—G## Senior Software Engineer, AI/ML, GenAIGoogle10AI/MLFull-timezł364000 - zł374000 (PLN) + 15% bonus target + equity + benefitsKraków, PolandApply Job### Job DescriptionGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. We are a small, dynamic team at the forefront of generative AI. Our mission is to automate device operations across a variety of form factors (including phones, laptops, and tablets) and to derive insights from acquired data. Inspired by recent AI advancements, we aim to build agents capable of operating devices, at scale and with high efficiency and accuracy. We foster a collaborative environment where team members can learn from each other and contribute together. ChromeOS delivers quality computing at scale to provide universal and unfettered access to information, entertainment, and tools. Our mission is to empower anyone to create and access information freely through fast, secure, simple, and intelligent computing. Responsibilities: Design, develop, deploy, and maintain scalable machine learning systems for our device automation and app analysis platforms, with a focus on generative and agentic AI. Enhance and refine our AI-powered agents to improve their understanding and execution capabilities across various form factors. Define, establish, and track Key Performance Indicators (KPIs) and metrics to evaluate and iterate on the performance, quality, and reliability of our ML systems. Collaborate closely with other engineers in a fast-paced environment. Provide technical leadership, and mentor team members on machine learning best practices, fostering their growth and development.### Skills Required* 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