Founding AI Engineer
2 нед. назад
130k–170k USD / yearUSASenior
llmweb scrapingemail automation
Founding AI Engineer to build and scale AI systems automating event-planning workflows.
Будет плюсом
- Experience building AI web agents or browser automation systems
- Zero-to-one AI product development experience
- Familiarity with evaluation frameworks and AI observability tools
- Published research or contributions to open-source AI projects
Условия
- Working Times: US (PST) Hours
- Must be based in San Francisco
- $130K-$170K
- 0.5% - 2% equity
- The amount listed above is the expected annual base salary for this role, subject to change.
Другое
- is the first AI platform for planning corporate events. For example, our AI can contact venues by email and phone to get availability, deal with back-and-forth negotiations, and present the best options.
- We’ve proudly planned events ranging from Amazon’s intimate executive dinners in New York, to Quantstamp’s product launch in Turkey, to Google’s offsite at Universal.
- Within the first 6 months of launching, has experienced exponential growth, growing to $3.4M in booked revenue from customers including Amazon, Google, and Notion.
- ’ leadership team is comprised of talented MIT software engineering graduates as well as prestigious backgrounds including Google, Meta, Amazon, Doordash, and McKinsey.
- Our mission is to simplify the process of bringing people together by automating the complexity behind events. Our vision? To become the go-to platform for organizing unforgettable events — making it easy and accessible for everyone, everywhere.
- As a Founding AI Engineer, you'll play a pivotal role in shaping our tech, product, and culture — and in building the future of how people gather.
- Build and scale AI systems that automate our event-planning workflow end-to-end
- Develop and scale AI agents for auto-emailing, calling, web scraping, and deep research
- Improve accuracy and reduce hallucinations across our LLM-powered features
- Design and implement scalable AI workflows using modern LLM frameworks and tools
- Work with real customer data to identify automation opportunities and validate AI solutions
- Build evaluation systems to measure and improve AI performance over time
- Partner closely with product and ops teams to understand pain points and ship AI features that matter
- Shape our AI/ML architecture and practices from the ground up
- Experience building and deploying AI / LLM systems in production
- Strong proficiency in Python and modern AI/LLM frameworks (LangChain, LlamaIndex, etc.)
- Deep understanding of prompt engineering, RAG , and techniques to improve LLM accuracy
- Experience with AI agents, tool calling, and autonomous systems
- Comfort with full-stack development and shipping features end-to-end
- A bias toward action—you like moving fast, experimenting, and iterating based on real-world results
- Excitement about pushing the boundaries of what AI can automate in complex workflows
- Free lunch and dinner
- Quarterly team offsites (yes, we went to the White Lotus S3 hotel in Thailand)
- Monthly fitness stipend
- Health insurance
- 12 weeks paid parental leave
- Generous PTO with required time off to recharge
- High ownership, autonomy, and direct access to founders
- Access to top venues, events, and travel experiences