
Artificial Intelligence System Architect
6 days ago
This position involves leading a team of engineers to design, deploy and optimize AI agents for businesses.
Key Responsibilities:
Technical Architecture: Define the technical architecture for the AI agent platform.
Team Leadership: Mentor and guide a small team of engineers (initially 2–3, scaling up to 10+).
Collaboration: Work with founders, product, and engineering teams to align architecture with business goals.
Hands-On Development:
Design, build, and optimize scalable front-end and back-end systems using Next.js 14+, Node.js, JSON, and Axios APIs.
Implement solutions using N8N and integrate vector stores/databases.
Infrastructure & Deployment:
Manage deployments using Docker, Docker Compose, and hypervisors.
Optimize Linux-based development environments, including scripting, automation, and performance optimization.
Maintain secure local and remote deployments, leveraging Cloudflare for instance management.
Security & Networking:
Architect and secure local networks and deployment environments.
Contribute to enterprise-grade security discussions as the company scales.
Collaboration & Delivery:
Work across multiple projects, balancing system optimization with new feature rollout.
Ensure clean workflows, visibility, and collaboration using Git versioning and project management tools.
Expertise in AI automation and workflow orchestration (e.g., N8N, JSON, vector stores, databases).
Advanced experience with Next.js 14+, Node.js, JSON, Axios API.
Strong infrastructure background with Docker/Docker Compose, Linux-based development.
Hands-on experience with local networks, system security, and architecture design.
Experience managing remote deployments and instances (Cloudflare preferred).
Extensive experience with Git versioning and modern project management practices.
Ability to balance hands-on coding with architectural leadership.
This role offers a unique opportunity to make an impact on fast-growing startups from the comfort of your own home.
Nice-to-Have SkillsDeep system-level Linux development (kernel tuning, performance optimization).
Enterprise-grade security architecture experience.
Familiarity with large language models and AI agent frameworks.
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