AI Platform Software Engineer
כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.
תקציר
DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks.
דרישות
- 8+ years of hands-on software engineering experience building production-grade backend services, APIs, or AI-powered systems.
- Proven production experience with multi-agent AI systems: deployment, tracing, guardrails, hardening, and incident management.
- Hands-on experience with agentic frameworks such as LangGraph, CrewAI, Google ADK, AutoGen, or equivalent.
- Experience building and running evaluation pipelines for agentic solutions - including trajectory tracing, ground truth validation, and harshness/quality scoring.
- Strong Python proficiency: comfortable building scalable backend services using gRPC and REST APIs.
- Solid understanding of distributed systems: fault tolerance, consistency models, service communication, and operational challenges at scale.
- Hands-on Kubernetes experience: deploying and operating containerized services, managing workloads, config, and scaling in production clusters.
- Practical experience with embeddings, vector databases, and semantic retrieval systems in production.
- Practical experience with RAG pipelines, LLM API integration, structured outputs, and tool calling in production environments including building and serving MCP servers at scale.
- Working knowledge of SQL and/or NoSQL databases, schema design, and query optimization.
- Strong debugging skills across application logic, APIs, data, and AI agent behavior.
- Strong communication skills and a bias toward ownership and delivery.