Software Engineer
Role details
Job location
Tech stack
Job description
Hands-on senior full-stack engineer building and supporting user-facing features, infrastructure, and AI-powered workflows (LLM integration, RAG, agents). Drive architecture, dev experience, CI/CD, and partner with product and program teams to deliver a scalable education platform., You'll be getting in at the ground level, working directly alongside the founders to build out the next generation of products supporting our vibrant nationwide community of school leaders. This is a senior, hands-on role with high ownership and real influence into how we build what we build - both in the technology and the engineering culture we create as we grow.
You will report directly to the CTPO and Co-Founder, who leads product and technical strategy and builds hands-on alongside you! You'll have real autonomy and the expectation that you'll bring and share your own perspective on architecture, tooling, and technical direction.
Our goal is to build a platform that education leaders across the country rely on - and that powers Seminar's growth. You will have a real impact on this from day one!, * Build, ship, and support user-facing features across the full stack - frontend, backend, data pipelines, infrastructure, testing, and monitoring. Our growing product suite includes a web app, browser extension, and AI tools, and you should be comfortable touching them all.
- Make pragmatic technical decisions about architecture, tooling, and third-party services at a pace that matches early-stage reality.
- Contribute to product thinking - while not your primary responsibility, you should be comfortable occasionally speaking to users and helping translate ideas into product specs that support both customer and business needs., * Contribute to the design and implementation of AI-powered workflows: things like integrating LLM APIs, building RAG pipelines, virtual context-driven assistants, and agentic systems.
- Work in close partnership with the Program team to ensure tight alignment between platform capabilities and the learning experiences leaders depend on.
- Help improve how we evaluate and iterate on our customer-facing AI tools, always with an eye towards enhancing - not replacing - human thinking.
Engineering Culture & Operations
- Influence the developer experience end-to-end - from local dev to testing to CI/CD to production monitoring.
- Help establish engineering practices, documentation, and standards that will scale as the team grows.
Requirements
- A well-rounded engineer with 5+ years of experience building and shipping production applications across the full stack in fast-paced environments.
- Experienced in JavaScript/TypeScript ecosystems. Our stack is JS-focused front and back, and while we are likely to fold in some Python with our expanding AI capabilities, JS will always have a place!
- Hands-on experience building with AI/LLM APIs - whether that's integrating models into products, building retrieval systems, or designing agentic workflows.
- Familiarity with the AWS cloud ecosystem.
- Product-minded. You think about the person on the other end of what we build, not just the thing itself.
- A clear communicator and collaborative partner across multiple business functions.
- Strong judgment, problem-solving skills, attention to quality, and operational discipline.
- Comfortable with ambiguity and high ownership.
- Motivated by building things that make a difference., * Familiarity with our current stack: Vue.js (v3, Composition API), Node.js, Hono, Postgres (on RDS) with Drizzle, Voiceflow.
- Background in edtech, education, or similar mission-driven organizations.
- Experience working closely with product or founding teams in a startup or high-growth environment., We evaluate candidates based on demonstrated ability and potential - not pedigree or proxies for privilege. We don't require computer science degrees, don't ask brainteaser or leetcode questions, and design our process to let you show us how you think and work.
Benefits & conditions
- $125K-$175K base salary, based on experience and competencies
- Meaningful early-stage equity
- Health insurance
- 401(k) with employer match
- Learning and development stipend (plus company-paid AI-assisted development tools)
- Generous PTO
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