Note: The job is a remote job and is open to candidates in USA. Nectir is the secure AI infrastructure purpose-built for schools, providing personalized learning support. The Senior AI Engineer will lead the development of AI systems, ensuring high-quality interactions and integrating AI capabilities into the platform.

Responsibilities

• 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

Skills

• 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
• 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

• 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

Company Overview