Senior Artificial Intelligence Engineer

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🔥 25 minutes ago

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Nectir

11 - 50 employees

Founded 2018

📚 Education

🤖 Artificial Intelligence

☁️ SaaS

Education • Artificial Intelligence • SaaS

Nectir is an education technology company that provides FERPA-compliant, LMS-integrated AI assistants and synchronous chat tools for schools and higher-education institutions. Its product (Nectir AI) turns course materials and institutional content into customizable, campus-specific AI Assistants that deliver 24/7 personalized student support, automated feedback for instructors, built-in analytics, and private endpoints to protect student data. Nectir is focused on enabling safe, scalable AI across campuses by integrating directly into learning management systems and offering controls and monitoring for administrators.

📋 Description

• Own the direction of the AI that powers Nectir: how it thinks, what context it sees, what it remembers, and how it uses tools. • Design and iterate on prompts, context, retrieval, and memory across the product. • Build evaluations (golden answers, traces, production monitoring) rigorous enough to catch regressions before users do. • Work across frontier models from the major providers to pick the right model for the right job, and tune cost, latency, and quality across that mix. • Build the multi-agent patterns and tooling that let us scale AI capability as the surface area grows. • Turn new model releases and new techniques into shipped improvements quickly. • Ship AI-facing features end to end when they need to land in the product. • Partner with the full-stack team to cleanly integrate AI capabilities into the platform. • Own the end-to-end quality of the AI experience our users actually see. • Track what ships across the AI ecosystem and translate it into real improvements in our product. • Share what you learn and raise the bar for what the rest of the team thinks is possible.

🎯 Requirements

• Direct experience building with LLMs in production, not just prototyping. You've shipped features that real users relied on. • Strong grasp of prompting, context engineering, retrieval, evaluation, and the practical realities of working with frontier models. • Proficiency in TypeScript and strong full-stack engineering fundamentals. Our entire stack is TypeScript. • Rigor around evaluation: you measure AI quality with real data, not vibes. • Product mindset: you build for real users, not just for the model. You can tell when an output is good enough to ship and when it isn't. • Proactive, self-directed communication in a remote, async environment.

🏖️ Benefits

• Competitive base salary • Comprehensive health coverage: medical, dental, and vision (for US-based roles only) • 401k with employer match (for US-based roles only) • Equity (stock options), so you share in what we're building • Flexible, remote-first work environment

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