🧾 Job Title: Lead Full-Stack AI Developer
đź“Ť Location: Tirana, Albania (On-site)
🕒 Schedule: Full-time | Monday – Friday, 15.00-23.00
We are building
**Smart Study OS**
, an AI-powered learning platform for students in grades 6–12. At the center of the product is
**Kaia**
, a proprietary AI tutor designed around a structured, cognitive learning methodology—purpose-built for effective learning, not a generic chatbot.
We are seeking a
**Lead Full-Stack AI Developer**
to take full ownership of the end-to-end technical development of the platform.
**Role Overview**
This is a
**high-ownership, solo engineering role (Phase 1)**
. The selected candidate will:
- Build and launch an MVP within
**4–5 weeks**
- Support a closed beta of 20+ families
- Evolve the MVP into a full-scale, multi-page AI academic platform
You will be responsible for
**system architecture, infrastructure, AI integration, and overall product reliability from day one**
.
The founder will provide all AI behavior specifications, including system prompts, tool definitions, schemas, and evaluation scenarios. Your role is to implement, operationalize, and ensure system performance and correctness.
**Phase 1: MVP (Weeks 1–5)**
Deliver a functional AI tutoring workspace including:
- Streaming AI chat (Anthropic API integration)
- Voice input and document upload (PDF/DOCX parsing)
- Cross-session student memory system
- Tool use / function calling and AI routing logic
- Structured AI-generated study artifacts rendered in the UI
- Secure, invite-only beta environment
- Session logging and system monitoring
**Phase 2: Product Expansion**
Following MVP launch, the platform will scale into a full academic operating system, including:
- Multi-page learning environment
- Vector-based knowledge base with semantic search
- Background job processing pipelines
- Subscription billing (Stripe)
- Parent communication and weekly reporting
- AI usage controls and cost optimization
- Child safety and compliance infrastructure
**Key Responsibilities**
- Own full-stack system architecture (frontend, backend, AI orchestration, infrastructure)
- Implement reliable LLM orchestration (streaming, tool use, system prompts)
- Design and maintain student memory and retrieval systems
- Build structured AI output pipelines and UI rendering systems
- Manage production deployment and iterative beta releases
- Monitor system performance, reliability, and AI behavior quality
- Develop a clean, scalable, and well-documented codebase for future team expansion
**Required Experience**
- 5+ years of full-stack software development experience
- 2+ years building production applications using LLM APIs
**Strong proficiency in:**
- Next.js (TypeScript, App Router, Server Components, API routes)
- LLM APIs (Anthropic or OpenAI), including tool/function calling
- Supabase (Postgres, Authentication, Storage, RLS)
- AI streaming and prompt/system design
- Document processing (PDF/DOCX parsing)
- Structured JSON generation from LLM outputs
- Production deployment using Vercel
**Technology Stack**
**Phase 1 (Core Requirements)**
- Next.js, TypeScript, Tailwind CSS, shadcn/ui
- Anthropic API
- Supabase (Auth, Database, Storage)
- PDF/DOCX parsing tools
- Vercel, GitHub
- Voice input APIs (Web Speech API, Whisper/Groq fallback)
**Phase 2 (Scalable Infrastructure)**
- pgvector, Voyage AI
- BullMQ, Redis
- Stripe (billing infrastructure)
- Cloudflare Workers (AI gateway layer)
- Sentry, PostHog, Helicone
- Resend (transactional email)
- Fly.io (background workers)
**Ideal Candidate Profile:**
- Comfortable owning a product end-to-end
- Strong system design and architectural thinking
- Experience shipping production-grade AI features
- Proactive communicator who identifies risks and trade-offs early
- Writes clean, maintainable, and well-documented code
**Important Notes:**
- This is a
**high-ownership, solo engineering role**
- MVP delivery timeline is
**4–5 weeks**
- The product serves students;
**safety, reliability, and correctness are core requirements**
- The codebase must be production-ready and designed for future team scaling
đź“© Interested?
Send your CV in English to hr@talentbridge.al with the subject line: “Lead Full-Stack AI Developer."
đź“Ť Location: Tirana, Albania (On-site)
🕒 Schedule: Full-time | Monday – Friday, 15.00-23.00
We are building
**Smart Study OS**
, an AI-powered learning platform for students in grades 6–12. At the center of the product is
**Kaia**
, a proprietary AI tutor designed around a structured, cognitive learning methodology—purpose-built for effective learning, not a generic chatbot.
We are seeking a
**Lead Full-Stack AI Developer**
to take full ownership of the end-to-end technical development of the platform.
**Role Overview**
This is a
**high-ownership, solo engineering role (Phase 1)**
. The selected candidate will:
- Build and launch an MVP within
**4–5 weeks**
- Support a closed beta of 20+ families
- Evolve the MVP into a full-scale, multi-page AI academic platform
You will be responsible for
**system architecture, infrastructure, AI integration, and overall product reliability from day one**
.
The founder will provide all AI behavior specifications, including system prompts, tool definitions, schemas, and evaluation scenarios. Your role is to implement, operationalize, and ensure system performance and correctness.
**Phase 1: MVP (Weeks 1–5)**
Deliver a functional AI tutoring workspace including:
- Streaming AI chat (Anthropic API integration)
- Voice input and document upload (PDF/DOCX parsing)
- Cross-session student memory system
- Tool use / function calling and AI routing logic
- Structured AI-generated study artifacts rendered in the UI
- Secure, invite-only beta environment
- Session logging and system monitoring
**Phase 2: Product Expansion**
Following MVP launch, the platform will scale into a full academic operating system, including:
- Multi-page learning environment
- Vector-based knowledge base with semantic search
- Background job processing pipelines
- Subscription billing (Stripe)
- Parent communication and weekly reporting
- AI usage controls and cost optimization
- Child safety and compliance infrastructure
**Key Responsibilities**
- Own full-stack system architecture (frontend, backend, AI orchestration, infrastructure)
- Implement reliable LLM orchestration (streaming, tool use, system prompts)
- Design and maintain student memory and retrieval systems
- Build structured AI output pipelines and UI rendering systems
- Manage production deployment and iterative beta releases
- Monitor system performance, reliability, and AI behavior quality
- Develop a clean, scalable, and well-documented codebase for future team expansion
**Required Experience**
- 5+ years of full-stack software development experience
- 2+ years building production applications using LLM APIs
**Strong proficiency in:**
- Next.js (TypeScript, App Router, Server Components, API routes)
- LLM APIs (Anthropic or OpenAI), including tool/function calling
- Supabase (Postgres, Authentication, Storage, RLS)
- AI streaming and prompt/system design
- Document processing (PDF/DOCX parsing)
- Structured JSON generation from LLM outputs
- Production deployment using Vercel
**Technology Stack**
**Phase 1 (Core Requirements)**
- Next.js, TypeScript, Tailwind CSS, shadcn/ui
- Anthropic API
- Supabase (Auth, Database, Storage)
- PDF/DOCX parsing tools
- Vercel, GitHub
- Voice input APIs (Web Speech API, Whisper/Groq fallback)
**Phase 2 (Scalable Infrastructure)**
- pgvector, Voyage AI
- BullMQ, Redis
- Stripe (billing infrastructure)
- Cloudflare Workers (AI gateway layer)
- Sentry, PostHog, Helicone
- Resend (transactional email)
- Fly.io (background workers)
**Ideal Candidate Profile:**
- Comfortable owning a product end-to-end
- Strong system design and architectural thinking
- Experience shipping production-grade AI features
- Proactive communicator who identifies risks and trade-offs early
- Writes clean, maintainable, and well-documented code
**Important Notes:**
- This is a
**high-ownership, solo engineering role**
- MVP delivery timeline is
**4–5 weeks**
- The product serves students;
**safety, reliability, and correctness are core requirements**
- The codebase must be production-ready and designed for future team scaling
đź“© Interested?
Send your CV in English to hr@talentbridge.al with the subject line: “Lead Full-Stack AI Developer."
