AI Automations Specialist

Requirements

The specialist’s central responsibility is to build AI-supported workflows, integrations, databases, dashboards, and operating systems around business processes that the client defines.

For example, the LinkedIn and opportunity workflow is primarily an automation system. It may include:

- Capturing relevant companies, roles, projects, and decision-makers.

- Connecting available sources and APIs.

- Structuring the information in a database or CRM.

- Using an LLM to compare opportunities with my professional profile.

- Generating content, outreach, or application drafts from my existing experience and materials.

- Creating follow-up actions and pipeline dashboards.

- Keeping all public actions subject to the client's approval.

The same technical foundation applies across the planned work:

- AI and LLM workflows.

- n8n, Make, Zapier, or comparable automation platforms.

- APIs, webhooks, and integrations.

- Excel and Google Sheets automation.

- Databases and CRM-style systems.

- Basic Python or practical scripting.

- Dashboards and management views.

- Documentation, testing, and knowledge transfer.

The applications will be implemented sequentially according to priority. After that, the same specialist can progressively support:

1. LinkedIn and opportunity-system automation.

2. The client's personal business operating system and portfolio.

3. Personal finance workflow and dashboard.

4. Industrial workflows such as the Weld Book and RT/NDT prototype.

Good to have:

- Basic Python and software development. Advantage: practical coding, testing, error handling, version control, deployment, and maintainable architecture.

- AI and agentic systems: LLMs, NLP, RAG and document workflows, AI agents, and connected agents or sub-agents.

- Data and business intelligence: Excel, Google Sheets, SQL and databases, analytics, dashboards, and preferably Power BI.

- Solution design: selecting the right tools, features, technologies, and architecture for each use case, then building, testing, documenting, and improving the solution.

- Clear execution: realistic estimation, structured communication, documentation, knowledge transfer, and continuous development with the fast-moving AI landscape.

Non-negotiable Requirements:

- Workflow automation (n8n, Make, or similar platforms)

- APIs and integrations (REST APIs, webhooks, authentication, system integrations)

- Claude / Claude Code and AI workflows (LLMs, AI agents, RAG, document workflows)

Industry/Tools Experience:

**APIs & Integrations:** REST APIs, Webhooks, Authentication, System Integrations, Web Scraping, Structured Data Extraction

**AI & LLMs:** Claude, Claude Code, LLMs, NLP, RAG, AI Agents, Multi-Agent Systems, Sub-Agents, Document Workflows

**Programming & Development:** Python, Git

**Data & Business Intelligence:** Excel, Google Sheets, SQL, Databases, Power BI, Analytics, Dashboards