AI Engineer
Core
Design and build production-grade agent and RAG systems that power intelligent, reliable automation for network operations across a multi-cloud platform.
Role type
Senior IC machine-learning engineer (LLM agents & RAG)
Builds
Enterprise-grade Agent platform, LLM post-training pipelines, evaluation frameworks, and backend services for AI workloads.
Domain
Network automation, IT operations, LLM applications
Deliverable
production ML models | product features | infrastructure
Required skills
LLM post-training (SFT, DPO, RLHF, LoRA), Agent architecture (ReAct, Plan-and-Execute, Supervisor), RAG systems, Python, distributed backend engineering, LLM evaluation frameworks, security guardrails for AI
Preferred skills
GraphRAG, Knowledge Graphs, MCP (Model Context Protocol), LangGraph/LangChain/AutoGen/LlamaIndex, LangSmith, Human-in-the-Loop workflows
Technologies
Python, LoRA, LangChain, LangGraph, AutoGen, LlamaIndex, LangSmith, GraphRAG, MCP
Responsibilities
Design and implement core capabilities for an enterprise-grade Agent platform including orchestration patterns and tool execution; Design and implement LLM post-training strategies and self-learning feedback loops; Build production-grade LLM and Agent evaluation frameworks and automated regression pipelines; Design and implement highly reliable backend services for production AI workloads; Prototype and productionize emerging technologies like GraphRAG and MCP; Lead technical design for critical modules and system-level capabilities.
Seniority
Senior, hands-on IC
