Principal Engineer, AI
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Job Description
Principal Engineer developing AI-powered capabilities to improve early education outcomes. Driving technical direction and mentoring teams in a mission-driven startup environment.
Responsibilities:
- Own outcomes end-to-end. Take responsibility for turning high-leverage opportunities into shipped, adopted capabilities with clear measurement, iteration loops, and sustained improvement—not one-time launches.
- Define the AI technical direction for your organization.
- Drive build-versus-buy decisions. Recommend when to partner on models and tooling versus when to build differentiated capabilities.
- Lead by implementation. Rapidly prototype and ship reference implementations to prove feasibility.
- Help build the paved highway. Contribute shared foundations—evaluation harnesses, retrieval and context patterns, safety guardrails, observability, and developer experience.
- Raise the bar across your organization. Mentor senior and staff engineers, lead design reviews for your teams, and help establish standards for quality and safety.
Requirements:
- Foundational AI Depth: You possess deep intuition for why models fail, gained from experience that predates the LLM boom.
- 8+ Years of Engineering Excellence: You have end-to-end ownership of large, business-critical systems.
- Architectural Strategy: Experience formulating architectural strategy at the organization level.
- Mentorship and Hiring: A track record of mentoring senior and staff engineers and improving their skills, knowledge, and ability to get things done.
- Production AI at Scale: A proven track record of shipping AI-powered products to production.
- Nice-to-haves: Experience earlier in your career with model training, fine-tuning, classical machine learning, or natural language processing.
Benefits:
- Comprehensive medical, dental, and vision coverage
- Generous paid parental leave
- Flexible PTO so you can recharge when you need it
- Local retirement or savings plans (e.g., 401(k) in the U.S.)
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