Artificial Intelligence Engineer

Responsibilities:

AI OS Development and Engineering (80%):

• Backend &
  • Databases: Develop backend applications using Python and FastAPI; design and manage PostgreSQL databases; build REST APIs, webhooks, and background processing services; establish data ingestion/sync workflows with data validation and duplicate prevention.

• AI Agents &
  • Intelligent Systems: Build RAG systems, AI agents, and automated workflows; integrate LLM APIs, embeddings, vector databases, and tool calling; implement multi-step orchestration and human approval loops while optimizing AI accuracy and performance.

• System Integrations &
  • Automation: Develop and maintain n8n workflows; integrate third-party applications via REST APIs, webhooks, and OAuth; connect CRMs, messaging platforms, and business tools with robust retries, error handling, and recovery mechanisms.

• Infrastructure &
  • Production Reliability: Deploy and maintain applications in Linux and Docker environments; manage Git version control and CI/CD pipelines; implement logging, monitoring, alerts, backups, rollbacks, access permissions, and technical documentation.

Technical Operations &

• Business Systems Support (20%):

• Maintain and troubleshoot company websites, landing pages, and basic front-end integrations.
• Configure and maintain GoHighLevel CRM, WATI, WhatsApp Business Platform, and marketing automation tools.
• Implement and troubleshoot Meta Pixel, Meta Conversions API, Google Tag Manager, and Google Analytics to optimize lead capture and marketing funnels.
• Support internal business applications, automation tools, and day-to-day operational platform needs

Qualifications:

• Backend Engineering: Strong Python programming, FastAPI (or comparable backend framework), PostgreSQL design, REST APIs, database transactions, and background processing.
• AI Engineering: Hands-on experience developing LLM-powered applications, AI agents, tool calling, workflow orchestration, RAG, embeddings, and output reliability.
• Automation &
  • Integrations: Practical experience with n8n (or equivalent), REST APIs, webhooks, OAuth, data synchronization, error recovery, and API troubleshooting.

• Browser automation using Playwright or Puppeteer.
• AI orchestration frameworks such as LangGraph or LangChain, vector databases, and semantic search.
• JavaScript, TypeScript, and basic front-end web development skills.
• Integrations with Google Workspace, Slack, GoHighLevel, WATI, WhatsApp API, Meta Conversions API, and Google Tag Manager.
• Experience supporting sales automation, CRM platforms, or marketing technology systems.