Senior Artificial Intelligence Engineer

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Nectir

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

📚 Education

🤖 Artificial Intelligence

☁️ SaaS

Education • Artificial Intelligence • SaaS

Nectir is an education-focused AI company that provides customizable, FERPA-compliant AI assistants and a synchronous chat platform integrated directly into a school's learning management system (LMS). Its product, Nectir AI, turns course content, assignments, rubrics, and institutional knowledge into 24/7 teaching and student support—offering personalized tutoring, automated Q&A, assignment feedback, administrative assistants (FAFSA, library, career coaching), analytics, and private endpoints to protect student data. Nectir positions itself as a safe, scalable SaaS-style AI infrastructure for higher education and K–12 institutions, emphasizing privacy, compliance, LMS plug-and-play integration, and measurable student-success outcomes reported by partner schools.

📋 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. • Nice-to-Haves • Experience with multi-agent systems, long-running agents, or memory architectures. • Familiarity with background workers and durable job processing. • A track record outside of day jobs: a company you started, an open-source project you maintain, or side projects you keep shipping. • Deep passion for AI, or a real connection to education. • Background in edtech or higher education.

🏖️ 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