Senior AI Engineer
Core
Design, build, evaluate, and operate AI systems for Edwin AI, a GenAI-powered AIOps platform that transforms observability signals into actionable intelligence for IT and operations teams.
Role type
Senior AI Engineer (LLM Application & RAG)
Builds
Production-grade LLM applications, RAG pipelines, and AI orchestration services for hybrid observability.
Domain
IT Infrastructure Management / AIOps / Observability
Deliverable
production ML models
Required skills
Python, LLM application engineering, RAG pipelines, AI orchestration frameworks (LangGraph, LangChain, LlamaIndex), vector search, prompt engineering, evaluation pipelines, software engineering
Preferred skills
Experience with commercial and open-source LLMs, embedding models, rerankers, vector databases, model-serving infrastructure
Technologies
Python, FastAPI, LangGraph, LangChain, LlamaIndex, OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, Google Vertex AI
Responsibilities
Design and build AI capabilities for incident summarization, alert correlation, anomaly explanation, and root-cause analysis; Develop production-grade LLM applications using retrieval-augmented generation and agentic workflows; Build and optimize RAG pipelines for high-scale observability data; Create offline and online evaluation frameworks for AI quality and safety; Mentor engineers on LLM application patterns and production AI practices.
Seniority
Senior, hands-on IC
