Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
- Experience leading technical discovery sessions.
Nice to Haves
- Master’s or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
What You'll Be Doing
- Serve as a developer for complex 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.
- Identify repeatable field patterns and friction points in Google’s AI stack.
- Co-build with customer engineering teams to instill Google-grade development best practices.
Perks and Benefits
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Germany: €128000 - €131000 (EUR) + 15% bonus target + equity + benefits
Learn more about benefits at Google.