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We're Looking For An AI Engineer
The person will help build Donna, an AI sales assistant, by developing and fine-tuning AI systems so that field sales reps can focus on selling while Donna handles support tasks intelligently.
Key Responsibilities
- Develop LLM-based solutions – Build scalable frameworks for large language models (LLMs) and improve how they generate responses.
- Prompt engineering – Fine-tune prompts (and chains of prompts) so the AI gives more accurate, relevant, and personalized outputs.
- Context integration – Feed the AI with contextual data (CRM records, emails, call recordings) so it understands each sales situation better.
- Multilingual systems – Build conversational AI that works across multiple languages.
- RAG (Retrieval-Augmented Generation) systems – Enhance AI with external data retrieval for more precise answers.
- MLOps & Observability – Monitor AI outputs to ensure high quality, reliability, and relevance.
- Collaborate across teams – Work with co-founders, engineers, and other departments to define requirements and make trade-offs.
- Iterate quickly – Ship features fast, gather feedback from users, and continuously improve the AI.
- Work with TypeScript & Node.js in a technical, hands-on way.
- Analyze data critically and iterate on AI outputs.
- Break big projects into smaller tasks, prioritize, and adapt to changing opportunities.
- Thrive in a start-up environment: flexible, output-driven, and eager to grow.
Key Skills
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