Principal AI Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal AI Platform Engineer (Python/AI): Designing and scaling the AI Platform's agent, skill, and tool architecture to empower product engineers to ship AI-powered features with an accent on scalability and developer experience. Focus on architecting high-scale context graphs, building agent orchestration layers, and designing robust evaluation loops to ensure reliability.
Location: Must be based in the United States or Canada (Remote, or in hubs: San Francisco, Toronto, Montreal)
Company
is a leading mobile-first work execution platform for industrial and frontline teams, recently valued at $2.5B after a $150M Series D.
What you will do
- Define and evolve the Agent/Skill/Tool architecture to enable reasoning, planning, and collaboration across AI features.
- Architect retrieval and knowledge systems to scale the context graph using millions of work orders and equipment manuals.
- Develop the developer experience, including agent orchestration, MCP tool registries, and observability layers.
- Design offline and online evaluation systems to create a continuous feedback loop for agent performance.
- Drive cross-division alignment on AI platform strategy, partnering with multiple product engineering teams.
Requirements
- 10+ years of software engineering experience in backend systems or distributed architecture.
- 3+ years of production experience building ML or LLM-powered systems with a focus on evaluation and reliability.
- Proven track record of technical leadership at the Principal level, influencing strategy across multiple teams.
- Deep expertise in Python backend, API design, and data pipelines.
- Experience treating developer experience (documentation, enablement) as a first-class product.
Nice to have
- Experience with multi-agent orchestration, tool use, and skill registries.
- Proficiency with MCP, LangGraph, LlamaIndex, or observability platforms like Langfuse and LangSmith.
- Knowledge of RAG pipelines, vector databases, and knowledge graphs at scale.
- Experience in B2B SaaS, industrial software, or IoT/OT domains.
Culture & Benefits
- Competitive base salary, variable compensation, and equity in a high-growth Series D company.
- Day-1 comprehensive health, dental, and vision coverage.
- Unlimited PTO and flexible token limits.
- Flexible work arrangements: remote across US/Canada or hub-based in SF, Toronto, or Montreal.
- Performance-driven culture focusing on output and architectural impact.
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