AI Automation Specialist

Description

Role Overview

We are seeking an AI Automation Specialist / Agentic Workflow Engineer to design, build, test, and deploy modern AI-powered workflows and applications using the latest agentic coding tools, local models, and automation frameworks. This is a highly hands-on role for someone deeply immersed in the rapidly evolving AI ecosystem and comfortable operating in fast-moving, terminal-heavy development environments.

This role blends AI automation, software engineering, workflow orchestration, rapid prototyping, and infrastructure operations.

Key Responsibilities

AI Workflow & Agent Development

• Build and maintain AI automation workflows using modern agentic coding and orchestration tools.

• Work with local models, multimodal models (VLMs), and AI coding agents to develop production-ready systems.

• Create, test, optimize, and document autonomous and semi-autonomous agent workflows.

• Stay current on emerging AI tools, models, frameworks, and developer trends.

Tools & Technologies

Experience with tools and platforms such as:

• Ollama

• Claude Code

• Cursor

• Codex / Codex CLI

• OpenClaw

• Hermes

• NeoClaw

• Antigravity-style coding agents

• MCP-style tool integrations

• Workflow automation frameworks

Development & Infrastructure

• Build full-stack applications end-to-end, including frontend, backend, APIs, databases, authentication, deployment, and documentation.

• Operate effectively in Linux and macOS terminal environments.

• Work with SSH, tmux, Git, package managers, remote debugging, and headless server workflows.

• Deploy and maintain applications across cloud, VPS, and local GPU environments.

SDKs & Integrations

Work with modern AI and developer SDKs, including:

• OpenAI SDK

• Vercel AI SDK

• Agent and orchestration frameworks

• Coding agent SDKs

• API integrations and automation tooling

Requirements

• Daily hands-on experience with AI coding tools and automation platforms.

• Strong comfort operating in CLI-driven and headless environments.

• Ability to independently build and deploy SaaS-style applications from concept to production.

• Experience with local model workflows using tools such as Ollama.

• Familiarity with multimodal AI systems, VLMs, and AI media workflows.

• Strong debugging and troubleshooting skills using logs, terminal commands, and documentation.

• Ability to rapidly learn and evaluate new AI tools and workflows.

• Strong written documentation and communication skills.

Nice to Have

• Experience with Next.js, Supabase, Payload CMS, Vercel, Docker, or Coolify.

• Familiarity with ComfyUI and AI media generation pipelines.

• Experience with MCP servers, multi-agent systems, or autonomous agent orchestration.

• Experience deploying applications on VPS, cloud infrastructure, or local GPU servers.

• Knowledge of SEO automation, CMS automation, or business workflow automation systems.

Ideal Candidate

• The ideal candidate is curious, adaptable, and highly self-directed.
• They enjoy experimenting with new AI technologies, rapidly prototyping solutions, troubleshooting complex systems, and turning rough ideas into working products quickly.
• This is not a traditional software engineering role — it is a hybrid position spanning AI automation, agent workflows, software development, infrastructure operations, and rapid experimentation.

BENEFITS

• Medical insurance
• Dental insurance
• Vision insurance
• Paid Time Off

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