AI Platform Software Engineer
DriveNets
שכר לא צויןTozeret Haaretz 3, Tel Aviv, היברידיסניורמשרה מלאה
משרה חיצונית, ההגשה באתר החברהאושר שהמשרה פתוחה לפני 13 שעות
You will build and operate production AI systems for the DriveNets Automation Platform, supporting the deployment, management, troubleshooting, and optimization of network and AI infrastructure. The role focuses on multi-agent systems running on Kubernetes, with an emphasis on production hardening, tracing, evaluation, and safety.
מה תעשו
- Design and develop AI-powered systems for networking, automation, observability, and distributed infrastructure.
- Build automation tools, orchestration capabilities, and intelligent platforms.
- Deploy and operate multi-agent AI systems in production.
- Harden agentic systems and implement tracing, evaluation, and safety measures.
דרישות
- 8+ years of hands-on software engineering experience building production-grade backend services, APIs, or AI-powered systems.
- Production experience deploying and operating multi-agent AI systems, including tracing, guardrails, hardening, and incident management.
- Hands-on experience with an agentic framework such as LangGraph, CrewAI, Google ADK, or AutoGen.
- Strong Python proficiency and experience building scalable backend services using gRPC and REST APIs.
- Experience with distributed systems, Kubernetes, embeddings, vector databases, semantic retrieval, and production RAG pipelines.
- Experience with LLM API integration, structured outputs, tool calling, and building and serving MCP servers at scale.
- Working knowledge of SQL and/or NoSQL databases, schema design, and query optimization.
- Experience building evaluation pipelines for agentic solutions, including trajectory tracing and ground truth validation.
יתרון
- Familiarity with Langfuse or Arize Phoenix.
- Familiarity with A2A and A2UI protocols.
- Experience with network automation, orchestration, or configuration management tools such as Ansible, Terraform, NETCONF, or gNMI.
תנאי סף
- 8+ years of hands-on software engineering experience
PythonKubernetesLangGraphgRPCREST APIsRAGMCPVector databases