Requirements

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript, or comparable languages.
• Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
• Experience designing and building AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise-grade AI solutions.

Nice to haves

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.
• Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

What You'll Be Doing

• Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows.
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements.
• Identify repeatable field patterns and technical friction points in Google’s AI stack.
• Drive engineering excellence by mentoring talent and influencing cross-functional strategies.

Perks and Benefits

• Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
• Salary range in Poland: zł364000 - zł373000 (PLN) + 15% bonus target + equity + benefits.
• Google offers an equal opportunity and affirmative action environment.
• World's most advanced AI portfolio.
• Direct access to DeepMind's engineering and research minds.