Fullstack Engineer
2 days ago
- Location: Onsite - Phạm Ngọc Thạch
- Mode: Onsite
- Type: Full-time
- Team: Engineering
- Reports to: CTO
Our client is not just building a software, they are designing meaningful, intelligent systems that connect people and AI in powerful new ways. Whether it's powering chat-based AI companions, smart real-time dashboards, or backends that scale across zones and users, they believe in ownership, honesty, and bias for action.
The RoleAs a Fullstack Engineer, you'll work across their backend and frontend systems to build scalable, reliable, and delightful features. From designing APIs in Python or , to crafting user experiences in , your work will be critical in shaping core platforms and AI-first experiences.
You'll collaborate directly with product, AI, and design teams to ship real impact fast.
Responsibilities- Design and implement backend services in Python (FastAPI, Flask) or (Express, NestJS)
- Build and maintain frontend features using , , and Tailwind CSS
- Develop APIs that support AI agents, user sessions, and real-time data sync
- Work with databases (PostgreSQL, Supabase, Redis) to build flexible and scalable data models
- Write clean, testable, and well-documented code
- Collaborate closely with AI engineers to integrate LLMs, vector DBs, and inference pipelines
- Deploy apps using modern DevOps stacks (Vercel, Docker, Cloudflare, Supabase, etc.)
- Own features end-to-end: from specs and implementation to testing and monitoring
- A builder who ships quality code fast
- Excited to work on both frontend and backend (and maybe a little DevOps too)
- Comfortable navigating ambiguity and iterating quickly with users and team
- Calm under pressure and naturally ask how can we make this better?
- Believer in clean code, team wins, and always growing forward
- 4+ years of experience in full stack or backend engineering
- Strong skills in Python and/or
- Comfortable building REST or GraphQL APIs
- Experience working with PostgreSQL, Supabase, or similar DBs
- Familiarity with frontend stacks: , Tailwind, and component-based architecture
- Comfortable with Git workflows, CI/CD, and deploying to cloud environments
- Bonus: experience working in AI/ML-integrated products (but not required)
- Experience working with realtime data (WebSocket, Pub/Sub, Redis streams)
- Used Supabase or Firebase in production
- Built internal tools, dashboards, or SaaS platforms
- Background in building systems for authentication, billing, or user management
- Interest in LLM tooling, AI agents, or prompt-driven systems
- High-impact role in a fast-moving product team
- Be part of building a future-forward AI platform
- True ownership and space to grow your skills
- Supportive team, zero-BS culture, real-time feedback
- Remote flexibility, async-friendly team
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