Reevo Inc. is looking to build an end-to-end solution designed to replace the entire CRM ecosystem and its point solutions, with an initial focus on enhancing workflows for Account Executives (AE) and Sales Development Representatives (SDR). The company aims to build AI systems that will fundamentally change how revenue teams work by creating intelligent, user-friendly AI experiences.
Requirements
- Strong expertise in large language models, RAG systems, and modern AI frameworks
- Experience with ML operations, model deployment, and AI system monitoring
- Proven experience building production AI applications, from experimentation to deployment
- Deep understanding of prompt engineering, fine-tuning, and AI evaluation methodologies
- Experience with vector databases, embedding systems, and semantic search
- Knowledge of AI safety practices and responsible AI development
- Proficiency in analyzing AI system performance and implementing improvements
Responsibilities
- Design and implement RAG (Retrieval-Augmented Generation) systems for contextual AI responses
- Build evaluation platforms and frameworks for measuring AI system performance and quality
- Develop novel interaction patterns and UX for large language model integrations
- Create data labeling and training pipelines for improving AI model performance
- Build reusable AI infrastructure and platforms that enable rapid AI feature development
- Implement AI safety measures, monitoring, and quality assurance systems
- Stay current with latest AI/ML research and incorporate relevant advances into products
Other
- AI-focused Software Engineers at all levels (Junior, Senior, Staff, Senior Staff)
- Thrive as T-shaped individuals—bringing deep technical expertise in AI/LLM systems while possessing a broad range of skills that allow them to build production-ready AI applications.
- Highly innovative, with a passion for solving complex AI challenges and creating intelligent systems that enhance user experiences, all while maintaining a high standard of engineering excellence.
- Collaborate with engineering, product, and data teams to design and implement AI-powered features and systems.
- Ability to collaborate effectively with data scientists, engineers, and product teams
