[Hiring] AI-enabled Full Stack Engineer @Sierra Studio

Role Description

As an AI-Enabled Fullstack Engineer, you'll be the primary engineer on their AI-powered guidance platform for early childhood educators. You'll build the features that give teachers personalized coaching, help directors spot trends across classrooms, and turn behavioral observations into actionable strategies. You'll own the full stack, from database to deployment, and work closely with an AI Product Manager to take features from loose requirements to production.

This is a high-autonomy role. You'll often start building with ambiguity, iterate based on feedback, and ship without waiting for pixel-perfect designs. If you thrive when given ownership and trust rather than detailed specs, this is for you.

Here's what your day-to-day could look like:

• Build AI-powered educator tools: Develop features like smart classroom insights, behavior coaching strategies, leadership hubs, and real-time support tools for teachers and directors
• Work with structured LLM outputs: Design and maintain chained generation pipelines where each AI output feeds into the next
• Ship fullstack features end-to-end: From database schema to API endpoint to React UI — you own it all
• Architect for multi-tenancy: Build and improve a SaaS platform that serves multiple schools with proper data isolation
• Collaborate with Product: Work directly with the AI Product Manager to refine requirements, propose solutions, and iterate quickly

Qualifications

• 5+ years of experience in software engineering
• Strong experience with Python and Next.js (or React + TypeScript)
• Basic knowledge of cloud infrastructure (GCP preferred)
• Experience with databases (PostgreSQL preferred)
• Hands-on experience with AI/LLM tools — personal projects, side experiments, or tinkering absolutely count
• Strong written and verbal communication in English
• Comfortable working autonomously with loose requirements and iterating over time
• Ability to deliver without a final design and adjust later

Requirements

• Experience building products using Generative AI / LLMs (e.g., prompt engineering, structured outputs, chained generation)
• Experience with FastAPI
• Familiarity with multi-tenant SaaS architecture
• Experience working directly with Product Managers in small, fast-moving teams
• Cool side projects that you'd like to show us!

Benefits

• Shape the future of early education: Help build the platform that transforms how thousands of educators get support in the classroom
• Own the technical direction: As the primary engineer, you'll have real decision-making power over architecture, tooling, and implementation
• Work at the frontier of AI in EdTech: Build chained LLM generation pipelines, structured AI outputs, and scheduled workflows — real AI engineering, not a wrapper around a chatbot
• High autonomy, real impact: Small team, direct collaboration with Product and the CEO, and the freedom to move fast

Details

• Type: Contract engagement / CNPJ
• Location: Fully remote — the team works from around the world
• Reports to: CEO, working closely with the AI Product Manager
• Salary Range: $60,000 - $80,000 annually
• Your exact compensation will be determined based on a variety of factors that reflect your individual qualifications and how they align with the needs of the role