⚙️ Backend / AI Engineer - Core Team

About us.

Kalmus Labs is building Remora - an AI-powered learning platform focused on turning books, documents, and information into something people can actually explore, understand, and remember.

Most AI products today optimize for speed and surface-level answers. We’re interested in something deeper: personalized learning, long-term context, adaptive interaction, memory systems, and AI that feels genuinely useful instead of disposable.

We’re building toward a system where reading becomes interactive, contextual, and emotionally engaging - not passive consumption.

Why this role is interesting.

This is not a “maintain CRUD APIs forever” backend role.

You’ll work directly on the systems that power:

• AI reasoning flows
• retrieval pipelines
• memory systems
• document intelligence
• agent behavior
• multi-document understanding
• adaptive learning interactions

You’ll help shape how the product fundamentally thinks and behaves.

We move fast, prototype aggressively, and iterate quickly. There’s very little corporate structure here - decisions happen fast, ideas get tested quickly, and strong contributors have real influence over the direction of the platform.

We’re currently pre-seed and actively preparing for fundraising and expansion.

What you’ll work on.

• Backend architecture for Remora’s AI platform
• LLM pipelines (RAG, embeddings, retrieval, prompt orchestration)
• Multi-document search and contextual memory systems
• APIs, infrastructure, and scalable backend services
• AI feature reliability, latency, and optimization
• AI-assisted personalization systems
• Integrations between frontend, AI systems, and document workflows
• Internal tooling and experimentation systems for rapid iteration

You’ll collaborate closely with:

• the founder
• frontend engineers
• AI/backend team
• product/design side

Minimal meetings. Fast communication. Real ownership.

You might be a fit if you…

• Enjoy solving difficult backend/system design problems
• Like building things from scratch instead of maintaining enterprise bureaucracy
• Care about product thinking — not just writing isolated code
• Are interested in AI infrastructure, agent systems, retrieval pipelines, or intelligent UX
• Can work independently and communicate clearly
• Like fast-moving startup environments with ambiguity and experimentation

Tech stack / areas.

Backend & Infra:
Node.js, Python, Express, FastAPI, Postgres, Redis, Docker, AWS/GCP, CI/CD, WebSockets

AI Stack:
LangChain, LlamaIndex, OpenAI, Anthropic, PGVector, Pinecone, embeddings, RAG pipelines, prompt systems

Nice to have:

• vector search experience
• AI infra experience
• scalable API architecture
• observability/performance tooling
• authentication/security systems

Culture.

• Human-first team
• No corporate theater
• Direct communication
• Flexible schedule (~10–20h/week initially)
• Remote-first
• Strong ownership and autonomy
• Real opportunity to grow with the company long-term

Compensation.

Equity-only for now (Pre-Seed stage)
4-year vesting / 1-year cliff

Target range:
~3%

As funding closes and the platform scales, the goal is to transition core contributors into paid long-term roles.

How to apply.

📩 Send:

Resume
GitHub / portfolio / projects
A few real sentences about what actually interests you in AI/backend systems

to: [email protected]

Please don’t send AI-generated essays or generic corporate cover letters. We care much more about how you think than polished buzzwords.

🌐 kalmuslabs.com (update soon)