EG AI Engineer (Autonomous Network)
Core
Builds, tests, and iterates production Agentic AI systems for Autonomous Networks, implementing agent logic, integrating OSS APIs, and deploying agents into production.
Role type
Senior IC AI Engineer (Agentic Systems & Network Automation)
Builds
Production Agentic AI systems, RAG pipelines, multi-agent orchestration layers, and network telemetry integration pipelines.
Domain
Telecom/Network Operations (OSS/EMS) + Generative AI
Deliverable
production ML models | product features
Required skills
Python, LangChain, LlamaIndex, LangGraph, RAG architecture, vector databases (Qdrant, Milvus, pgvector), event streaming (Kafka), REST/NETCONF/YANG/SNMP/gNMI, multi-agent orchestration, LLM evaluation (LLM-as-Judge), guardrail implementation
Preferred skills
Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, ServiceNow integration, hybrid search, reranking, observability (Langfuse, Braintrust)
Technologies
Python, LangChain, LlamaIndex, LangGraph, LiteLLM, Portkey, Langfuse, Braintrust, Qdrant, Milvus, pgvector, Kafka, ServiceNow, NETCONF, YANG, SNMP, gNMI
Responsibilities
Own end-to-end delivery of AI workstreams from requirements to production handover; Develop agentic applications including RAG pipelines and prompt-engineered agents; Implement multi-agent orchestration layers with event routing and shared state management; Build alarm and telemetry data normalization pipelines connecting agents to NMS/EMS systems; Implement safety guardrails and escalation logic for autonomous agents; Write clean, maintainable Python and participate in code reviews.
Seniority
Senior, hands-on IC