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 workflows, RAG pipelines, and LLM-powered orchestration layers for quantum tasks
Domain
Quantum computing, scientific computing, and large language models
Deliverable
production ML models
Required skills
Python, LLMs, RAG, agentic frameworks, production deployment, AWS
Preferred skills
Multi-agent systems, scientific domain exposure, workflow orchestration
Technologies
AWS, Python
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