AI Platform Software Engineer

We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our team.
The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments.
You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure - running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns.
This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems - not model training or research prototypes.

דרישות:

5+ 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 p