AI Engineer (LLM / Agentic Workflows) — Quantum SaaS

## About the Role We are building an AI-native platform for quantum computing, where users interact with complex systems through agentic AI workflows and natural language interfaces. We're looking for a mid-level AI Engineer to join our team and help design and implement LLM-driven agents that translate user intent into structured computational workflows, including simulation, optimization, and orchestration of quantum tasks. This is a hands-on individual contributor role focused on building real production systems at the intersection of LLMs, reasoning agents, and scientific computing. ## What You'll Do - 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 ## What We're Looking For - 2–5 years experience in AI/ML/software - Strong Python skills - Experience with LLMs and RAG - Experience with agentic frameworks - Production deployment experience ## Nice to Have - Multi-agent systems - Scientific domain exposure - Workflow orchestration ## Why This Role is Interesting - Build real AI systems - Work on agentic workflows - Intersection of LLMs and scientific computing ## What Success Looks Like - End-to-end task execution from user input - Reliable multi-step agents - Production scalability To apply, include: - A GitHub repo or project involving LLMs / agents - A short explanation (3–5 sentences) of a system you built - Your approach to debugging LLM systems