AI Engineer
Skills
APISoftware As A ServiceCustomer Relationship ManagementDatabasesHubspotMarketingStack
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven delivery of LLM-based automation in production environments
- Strong experience with automation platforms such as n8n Make or Zapier
- Proficiency in Python and SQL
- Strong API and webhook integration capability
- Experience with OpenAI or Anthropic APIs and prompt engineering
- Experience building RAG pipelines and working with vector databases
- Experience automating Salesforce and Zendesk environments preferred
- Experience operating in B2B SaaS or similar fast-moving environments
- Track record of delivering as a contractor with clean handover
- Comfortable refining requirements with non-technical stakeholders
Nice to have
- Delivery-focused
- Pragmatic
- High agency
- Accountable
- Structured
- Reliable
- Security-minded
- Comfortable with ambiguity
- Clear communicator
Day to day
- Build and maintain AI-enabled automation pipelines across core business systems.
- Design and deploy integrations that streamline workflows in customer operations marketing finance and training.
- Develop event-triggered automations RAG pipelines and production-ready AI solutions with monitoring and secure data handling.