Summary
What you’ll impact
The Senior Principal AI Engineer will provide hands‑on technical leadership to design, build, and scale production‑grade AI systems, including LLM orchestration and multi‑agent workflows. The role focuses on architecting reliable, cost‑aware AI applications, driving technical decisions, and mentoring senior engineers while staying ahead of emerging AI techniques.
Responsibilities
What you'll do
- Architect and build end-to-end AI systems including LLM orchestration, retrieval layers, agentic workflows, and structured reasoning systems
- Lead the design of multi-agent and tool-calling systems that operate reliably in production
- Establish and evolve architecture patterns for scalable, cost-aware, and observable AI applications
- Drive technical decisions across data modeling, AI pipelines, infrastructure, and APIs
- Define best practices for evaluation, monitoring, and governance of AI systems in production
- Mentor senior engineers through design reviews, code reviews, and system-level debugging
- Translate ambiguous business and domain problems into clear technical strategies
- Stay ahead of emerging AI techniques and integrate what matters—without chasing hype
Requirements
What you’ll bring
- 12+ years of software engineering experience, with deep hands-on experience building 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
- Strong architectural judgment across data systems, AI models, infrastructure, and application layers
- Deep understanding of AI failure modes: hallucination, drift, brittleness, latency, and cost blowups
- Excellent communication skills—able to explain technical tradeoffs to both technical and non-technical audiences
- Track record of shipping systems end-to-end, not just prototypes or research work