
Future-Shaping Backend Architect
5 days ago
About Us
Our company is working on a revolutionary AI-first workspace, called Mindprint.
This innovative workspace aims to bring AI closer to the user and make it work like a real teammate.
Our team of 13 is working tirelessly to overcome the challenges in tech related to AI adoption by small teams.
We are creating a collaborative environment where AI experts can grow over time.
Currently, we are looking for an experienced Backend Developer to join our team and help us shape the infrastructure powering the future of work.
This role is ideal for someone who is passionate about the potential of AI and wants to be part of a high-growth environment.
Key Responsibilities:
- Design and develop scalable backend systems that power our AI-first workspace.
- Develop APIs and services to support real-time collaboration, persistent memory, and AI Experts/Skills.
- Collaborate with frontend, AI, and product teams to ship features at startup speed.
- Optimize for scalability, performance, and security as we grow.
- Contribute to architecture decisions shaping Mindprint.
Required Skills and Qualifications:
- 3+ years experience in backend development.
- Strong understanding of databases, APIs, and distributed systems.
- Builder mindset – excited to ship fast, learn from users, and iterate.
- Passionate about AI, SaaS, and small teams.
- Comfortable in a demanding, unstructured, and fast-paced environment.
Benefits:
- Competitive salary aligned with top roles.
- ESOPs - own a piece of what you're building.
- Direct interaction with founders in shaping the product and company.
- A front-row seat to the AI adoption wave.
Why Join Now:
Our company is at an inflection point. We are still small enough that every line of code shapes the product, but we are building for a market exploding.
If you want responsibility, intensity, and the chance to make AI history with a team that moves fast, this is the role.
Technologies We're Using:
- Node.js / TypeScript
- PostgreSQL / Redis
- GraphQL APIs
- AWS / GCP
- Docker / Kubernetes
- LLM integrations, vector DBs, or real-time systems experience is beneficial.
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