{"schemaVersion":"jobsearcher.job.v1","id":"8e8c48d5e96824fd5af7a307","url":"https://jobsearcher.com/jobs/8e8c48d5e96824fd5af7a307","canonicalUrl":"https://jobsearcher.com/jobs/8e8c48d5e96824fd5af7a307","title":"Founding Engineer","description":"About ScholarStackScholarStack helps institutions bring structure, visibility, and accountability to AI in teaching and learning. We're early, opinionated, and shipping fast.The Role — Founding Engineer (Remote, Full-Time)You'll build the product alongside the founder, owning meaningful surface area from day one. Hands-on engineering with founder-level scope: write the code, set technical direction, and help shape what ScholarStack becomes.What you'll work on- AI agent systems: tool-calling agents, structured outputs, memory, and RAG pipelines- Document ingestion at scale- A multi-tenant platform serving universities:- A type-safe full-stack- AWS infrastructure as code (Pulumi): ECS Fargate, RDS, ElastiCache, S3, CloudFrontYou'll fit well if you- Have shipped production systems in TypeScript and are comfortable across the stack — backend, frontend, infra- Have built with LLMs beyond toy demos: structured outputs, streaming, tool use, evals, cost/latency tradeoffs- Care about types as a design tool, not bureaucracy- Have run real Postgres in production- Are comfortable owning AWS infra, or eager to- Move fast without breaking trust: write code that's simple, delete code that isn't pulling its weight- Want to be in the room for product, hiring, fundraising, and roadmap — not just ticketsNice to have- Experience in edtech, LMS integrations (Canvas, Moodle), or selling into universities- Background in search/retrieval, vector DBs, or applied ML- Have been early at a startup beforeWhat we offer- Direct partnership with the founder on product and technical direction- Remote-first, async-friendly, low-meeting cultureIf you've looked at the AI tools your university rolled out and thought we can do better than this - let's talk.","company":"Scholarstack","rawCompany":"scholarstack","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-11T22:50:21.322Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Founding Engineer","description":"About ScholarStackScholarStack helps institutions bring structure, visibility, and accountability to AI in teaching and learning. We're early, opinionated, and shipping fast.The Role — Founding Engineer (Remote, Full-Time)You'll build the product alongside the founder, owning meaningful surface area from day one. Hands-on engineering with founder-level scope: write the code, set technical direction, and help shape what ScholarStack becomes.What you'll work on- AI agent systems: tool-calling agents, structured outputs, memory, and RAG pipelines- Document ingestion at scale- A multi-tenant platform serving universities:- A type-safe full-stack- AWS infrastructure as code (Pulumi): ECS Fargate, RDS, ElastiCache, S3, CloudFrontYou'll fit well if you- Have shipped production systems in TypeScript and are comfortable across the stack — backend, frontend, infra- Have built with LLMs beyond toy demos: structured outputs, streaming, tool use, evals, cost/latency tradeoffs- Care about types as a design tool, not bureaucracy- Have run real Postgres in production- Are comfortable owning AWS infra, or eager to- Move fast without breaking trust: write code that's simple, delete code that isn't pulling its weight- Want to be in the room for product, hiring, fundraising, and roadmap — not just ticketsNice to have- Experience in edtech, LMS integrations (Canvas, Moodle), or selling into universities- Background in search/retrieval, vector DBs, or applied ML- Have been early at a startup beforeWhat we offer- Direct partnership with the founder on product and technical direction- Remote-first, async-friendly, low-meeting cultureIf you've looked at the AI tools your university rolled out and thought we can do better than this - let's talk.","datePosted":"2026-05-11T22:50:21.322Z","dateModified":"2026-05-11T22:50:21.322Z","hiringOrganization":{"@type":"Organization","name":"Scholarstack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8e8c48d5e96824fd5af7a307"},"url":"https://jobsearcher.com/jobs/8e8c48d5e96824fd5af7a307"}}