Senior Artificial Intelligence (AI) Engineer
About The Position
Nectir is seeking its first full-time AI engineer to join their mission of building a personalized learning experience for every student. This role is central to ensuring AI interactions are high-quality, contextually grounded, and accurate across various subjects. The engineer will have significant ownership over the direction of AI systems, including designing and iterating on AI responses, context retention, and building rigorous evaluations. As a strong full-stack developer, the engineer will also be responsible for shipping AI features end-to-end across the platform. The role reports directly to the CTO and collaborates with product, engineering, data, and customer success teams.
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.
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.
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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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
