About the role
WeAssist is rapidly expanding and needs AI Engineers to build, deploy, and optimize AI‑driven systems that enhance our automation and workflow solutions. The role involves designing scalable automations, developing AI powered assistants, maintaining data reporting pipelines, and collaborating with cross‑functional teams to translate business needs into technical solutions.
Responsibilities
Workflow Automation & Integration
Design, implement, and optimize automations using tools such as n8n, Make.com, and Zapier.
Build reliable integrations across Microsoft 365, Google Workspace, Slack/Teams, WhatsApp, CRMs, and more.
Ensure automations are error‑resilient, scalable, and monitored with proactive notifications.
AI‑Powered Development
Develop AI‑driven workflows such as transcription pipelines, chatbots, and meeting assistants.
Leverage APIs like OpenAI, Claude, ElevenLabs, and Whisper to deliver intelligent user experiences.
Fine‑tune, prompt, and optimize large language models for task‑specific use cases.
Design and deploy AI assistants, recommendation systems, and intelligent search tools.
Data & Reporting Systems
Create and maintain data dashboards and automated reporting pipelines with AirTable, Google Data Studio, HubSpot, Sheets, and Excel.
Ensure data accuracy and visibility across teams.
DevOps & Monitoring
Deploy and manage AI models in production with continuous monitoring and performance tuning.
Establish A/B testing and evaluation frameworks for AI‑driven features.
Optimize cost when running models and automations on cloud platforms.
Collaboration & Documentation
Partner with stakeholders to understand needs, map workflows, and translate requirements into technical solutions.
Document workflows, integrations, and automations to ensure transparency, scalability, and easy maintenance.
Specializations (optional)
Recruiting Focus – build sourcing, screening, and candidate‑matching tools.