AI Engineer (LLM / Agentic Workflows) — Quantum SaaS
Core
Design and implement LLM-driven agents that translate user intent into structured computational workflows for quantum computing simulation, optimization, and orchestration.
Role type
Mid-level individual contributor AI Engineer (LLM/Agentic Workflows)
Builds
Production agentic AI systems and RAG pipelines for quantum computing tasks
Domain
Quantum computing + Large Language Models
Deliverable
production ML models
Required skills
Python, LLMs, RAG, agentic frameworks, AWS deployment, latency/cost optimization
Preferred skills
Multi-agent systems, scientific domain exposure, workflow orchestration
Responsibilities
Design and implement agentic AI workflows, Build and maintain RAG pipelines, Develop LLM-powered orchestration layers, Implement evaluation and observability for LLM systems, Deploy and operate systems on AWS, Optimize latency, cost, and reliability
