Hybrid | IsraelAbout the CompanyDriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.Responsibilities- Design and develop LLM-powered security features and internal AI tools, including RAG pipelines, multi-agent workflows, and prompt-engineered systems for cybersecurity use cases- Architect and operate multi-agent systems in production — covering orchestration, inter-agent communication, task delegation, and failure handling at scale- Build agent monitoring and observability pipelines, including tracing, drift and failure detection, alerting, and reliability SLA management- Build and maintain scalable MLOps infrastructure — model serving, evaluation frameworks, experiment tracking, and CI/CD for ML- Fine-tune and adapt foundation models on internal datasets such as network telemetry, security logs, and threat intelligence- Establish and champion best practices for model observability, safety, and responsible AI deployment- Stay current with the LLM/GenAI ecosystem and drive continuous improvements to the AI SDLC and AI Research cycle Technical Skills- 5–8 years of software engineering experience, with 2–3 years focused on AI/ML- Proven experience building and deploying production LLM applications (RAG, agents, tool-use, fine-tuning)- Hands-on experience designing and operating production multi-agent systems- Experience building agent observability and monitoring solut
