What are the responsibilities and job description for the AI Automation Specialist / Agentic Workflow Engineer position at UNIS?
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.
Responsibilities
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.
Responsibilities
- 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.
- Build full-stack applications end-to-end, including frontend, backend, APIs, databases, authentication, deployment, and documentation.
- Operate effectively in Linux and macOS terminal environments.
- 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.
- 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.
Salary : $27 - $29