AI Automation Specialist / Agentic Workflow Engineer

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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