Agent Engineer

Role

Were looking to bring on an Agent Engineer who will architect and build the agentic systems powering FLORA. You will work closely with the founders to invent how creative professionals interact with AI in a generative age. This is a first-principles role: youll design implement and scale the backbone of agentic workflows that let creatives orchestrate text image and video models seamlessly on FLORAs infinite canvas.

What Youll Do

As an Agent Engineer youll design and build the intelligence layer of FLORA systems that make multi-modal creative workflows powerful reliable and intuitive.

Youll be hands-on across the entire stack from frontend to backend to infra collaborating with product and design to ship features that balance technical power usability and creative control. As a result full-stack expertise is required.

Key responsibilities:

• Architect agentic systems that orchestrate LLMs APIs and tools across multi-step workflows.

• Implement tool calling context engineering memory and retrieval (RAG) for coherent reliable agents.

• Build observability evaluation and guardrailing frameworks including automated checks regression testing and human-in-the-loop scoring.

• Develop robust retry fallback and error-handling mechanisms to make agents production-grade.

• Experiment with fine-tuning prompt design and multi-modal integration (text image video).

• Deliver polished end-to-end features across frontend (React/) backend (APIs Modal) and infrastructure.

Requirements:

• Hands-on experience building agentic systems e.g. multi-step pipelines assistants with memory tool-using agents.

• Full-stack engineering skills: confident shipping production features across frontend backend and infra.

• Familiarity with observability evaluation frameworks guardrails and reliability testing for AI systems.

• Experience with memory and retrieval: embeddings vector DBs summarization context management and RAG pipelines.

• Strong background in orchestration across models APIs and tools including retries fallbacks and edge case handling.

• Solid understanding of LLMs fine-tuning context engineering and tool calling.

• Product-minded you care as much about usability and creative control as you do about technical novelty.

• 5 years of engineering experience ideally with enterprise-grade agent systems.

• Python not required but encouraged.

Stack
Were a React Next JS Typescript app using a combination of APIs and Modal for our backend.

If youre interested reach out to and .

Required Experience:

Unclear Seniority