🛠 Tech Stack

💼 About This Role

You'll provide hands-on technical leadership across complex production-grade AI systems, building end-to-end AI systems including LLM orchestration and agentic workflows. You'll define technical direction by writing code and designing systems, unblocking teams to move faster without sacrificing outcomes. This role is for a builder-architect who ships real systems.

🎯 What You'll Do

• Architect and build end-to-end AI systems including LLM orchestration and retrieval layers
• Lead design of multi-agent and tool-calling systems for reliable production operation
• Establish architecture patterns for scalable, cost-aware, observable AI applications
• Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs

📋 Requirements

• 12+ years of software engineering experience with deep hands-on AI/ML systems in production
• Strong proficiency in TypeScript, React, Go, Python and modern AI frameworks
• Extensive experience with LLMs including RAG, tool use, prompt systems, and agentic architectures
• Proven ability to design and ship large-scale AI systems that run reliably in real-world environments

✨ Nice to Have

• Knowledge graph architecture, ontology design, or semantic modeling in complex domains
• Hybrid systems combining structured reasoning with LLM-based approaches
• Experience building AI systems in regulated or high-stakes domains

🎁 Benefits & Perks

• 🚀 Own technical direction of real AI systems that make it into production
• 🧩 Solve hard ambiguous problems where architecture and execution matter equally
• 🔧 Lead through hands-on building not layers of process
• 🌱 Work in an environment that values shipping, learning, and iteration over perfection
• 🎯 Have latitude to shape both systems and how teams build them

🚩 Heads Up

• Senior Principal title with ~12+ years requirement may imply higher expectations than typical lead roles
• Broad 'builder mentality' description could lead to scope creep beyond defined responsibilities