Requirements

Bachelor's degree or equivalent practical experience.
2 years of experience designing, building, and deploying NLP models and generative AI agents.
Experience implementing DevOps and MLOps pipelines.
Experience building generative AI solutions in a customer-facing role.
Experience in ML infrastructure including model deployment, evaluation, optimization, data processing, debugging, and coding in Python.

Nice to haves

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks like LangGraph, CrewAI, or Google’s ADK and patterns such as ReAct, self-reflection, hierarchical delegation.
Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for state management optimization and granular tracing.
Proven ability to implement secure agentic workflows with MCP, tool-calling, and OAuth-based authentication.

Lead development of complex AI applications transitioning prototypes to production-grade agentic workflows like multi-agent systems and MCP servers removing blockers to production.
Architect and code integration layers between Google AI products and customer infrastructure including APIs, data silos, and security perimeters.
Build high-performance evaluation pipelines and observability frameworks to meet accuracy, safety, and latency requirements.
Identify repeatable field patterns and friction points turning them into reusable modules or product feature requests.
Collaborate with customer engineering teams to instill Google-grade development best practices ensuring long-term success and adoption.

Competitive salary in Poland: zł280000 - zł287000 (PLN) plus 15% bonus target, equity, and benefits.
Access to Google’s advanced AI portfolio including Gemini models and Vertex AI platform.
Collaborative culture with direct access to DeepMind engineering and research teams.
Opportunity to work on the forefront of AI revolution shaping enterprise AI and cloud era.