Note: The job is a remote job and is open to candidates in USA. Nectir is a secure AI infrastructure purpose-built for schools, providing personalized learning support. The Senior AI Engineer will be responsible for leading the development of AI systems that enhance the learning experience, ensuring high-quality interactions and effective integration of AI features.
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