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