Applied AI Engineer
Skills
BusinessCustomer Relationship ManagementFitIT IntegrationInformation ExtractionInfraredInvestor Relations
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Ship LLM features to production such as drafting classification routing or agents
- Build evals and measure output quality
- Integrate LLMs with email CRM or messaging systems
- Think like an operator and understand business goals behind messages
- Move fast with AI tooling and own outcomes
Nice to have
- Fast-moving
- Operator mindset
- Product-minded
- Quality-focused
- Autonomous
Day to day
- Own the conversation layer for an AI-first fundraising platform, building the agents that draft, route, and manage messages across outreach and investor relations.
- Design and ship reply and messaging systems that start as inbox support and grow into a core product capability.
- Develop broader applied-AI features including classification, extraction, routing, summarization, plus evals and guardrails to maintain quality at scale.
Hiring process
- Hit apply
- Complete short application form
- We review every application