1 day ago
Responsibilities
- Build evaluation pipelines and observability frameworks for agentic systems.
- Own and optimize production-ready conversational customer user journeys.
- Architect agentic workloads, including reasoning loops, tool selection, latency optimization, security, and networking.
- Implement rate limiting, error handling, regional failover, monitoring, and alerting for production launches.
- Troubleshoot high-traffic systems and trace conversation IDs to resolve failures in real time.
- Contribute to product feedback loops, whitepapers, hackathons, and technical blogs.
Requirements
- Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience.
- Six years of software development experience using Python or similar coding languages.
- Experience taking production-grade AI solutions from conception to launch and architecting AI systems on cloud platforms such as GCP.
- Experience developing AI/GenAI solutions, multi-agent workflows, or RAG systems.
- Experience developing and deploying multilingual natural language processing models.
- Preferred experience connecting agents to enterprise knowledge bases, optimizing RAG chunking, debugging agent logic, optimizing tool selection, and troubleshooting high-traffic systems.
Benefits
- 15% bonus target, equity, and benefits are listed in addition to base pay.
- The role supports production launches and critical Go-Live windows for enterprise customers.
Tech Stack
Categories
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh