Overview
The AI Engineer will be responsible for developing and maintaining AI-powered automation solutions that enhance demand generation efforts for a B2B SaaS company. Collaborating closely with the Head of AI Operations and Marketing, this role focuses on transforming automation ideas into scalable production solutions that streamline lead scoring, content generation, and marketing actions. This contractor position emphasizes a hands-on approach to engineering standards, documentation, and collaboration with marketing teams.
Responsibilities
- Build and maintain AI-enabled automation pipelines using tools like n8n and Zapier/Make.
- Design and implement RAG pipelines alongside vector database integrations for campaign content generation.
- Develop event-triggered automations to convert buyer intent signals into actionable marketing steps.
- Create and test prompts for demand generation use cases, incorporating evaluation loops.
- Automate reporting workflows for enhanced visibility into marketing performance metrics.
- Apply engineering standards for error handling, logging, and monitoring in automation processes.
- Document automation processes for seamless handover to marketing and RevOps teams.
Requirements
- Proven experience delivering LLM-based automation in production environments.
- Strong background with automation platforms such as Inngest.
- Proficient in Python and SQL programming languages.
- Experience building RAG pipelines and working with vector databases.
- Hands-on knowledge of AWS Bedrock APIs and prompt engineering.
- Familiarity with marketing automation tools like HubSpot and CRM systems like Salesforce.
- Ability to work collaboratively with non-technical stakeholders to understand and implement automation needs.