SKL.VC

AI Architect - CEO Second Brain

In short

This role designs and builds a multi-agent AI system ("Second Brain") that lets a CEO manage context, tasks, and company operations through one interface, integrating email, calendars, documents, Slack, CRM, and databases. The company is an AI-native startup, and the role covers agent orchestration, persistent memory, automation, and secure access to sensitive data. It requires 3–6 years of experience with LLMs, RAG, prompting, and production AI agent deployment, plus a track record building executive AI or comparable agentic products. Based in Moscow with a hybrid, remote-first work format.

Location
Moscow; hybrid format with remote-first flexibility
Company
SKL.VC is building an AI-native operating system that helps a CEO access context, delegate tasks, and manage company operations through one interface.
What you will do
•Build a unified AI layer used by the CEO for daily work.
•Design and operate production-grade multi-agent architecture with orchestration, chaining, and tool use.
•Integrate calendars, email, documents, Slack, CRM systems, and databases.
•Develop persistent memory that retains context and accumulates knowledge over time.
•Automate routine tasks proactively and build secure access controls for highly sensitive data.
•Own architecture and technology choices across tools such as Claude, GPT, LangChain, n8n, and vector databases.
Requirements
•Proven experience building Second Brain, executive AI, personal intelligence, or comparable agentic products.
•Hands-on experience deploying AI agents in production, including orchestration, action chains, and tool use.
•Deep understanding of LLMs, prompting, RAG, embeddings, and context management.
•Ability to ship quickly and iterate based on feedback.
•Systems thinking with a focus on scalability and maintainability.
•3–6 years of professional experience.
Nice to have
•Experience at an AI-native startup or a research lab developing models.
Culture & Benefits
•Direct impact on a system used by the CEO every day.
•Full autonomy over architecture and technology decisions.
•Low bureaucracy, fast decisions, and short feedback loops.
•Competitive compensation.
•Remote-first approach with a flexible hybrid format.

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