Reevo
Santa Clara, CA
Software Engineer (AI)
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Apply to Software Engineer (AI) at ReevoJob details
- Location
- Santa Clara, CA
- Work type
- Onsite
- Visa
- Sponsorship available
- Posted
- 3 weeks ago
- Apply on
- jobs.ashbyhq.com
About this role
Reevo is redefining sales technology by building an end-to-end solution designed to replace the entire CRM ecosystem. They are seeking AI-focused Software Engineers at all levels to collaborate with engineering, product, and data teams to design and implement AI-powered features and systems, enhancing user experiences through innovative AI applications.
What you'll do:
- 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
- Partner with product teams to identify opportunities for AI-powered features
- Build reusable AI infrastructure and platforms that enable rapid AI feature development
- Implement AI safety measures, monitoring, and quality assurance systems
- Present AI capabilities and demos to internal teams and gather feedback
- Stay current with latest AI/ML research and incorporate relevant advances into products
What they're looking for:
- 2+ years of experience in software engineering for Junior roles, 5+ for Senior, with significant focus on AI/ML systems
- 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
- Ability to collaborate effectively with data scientists, engineers, and product teams
- Proficiency in analyzing AI system performance and implementing improvements
- Strong communication skills, with ability to explain AI concepts to non-technical stakeholders
- A passion for creating AI systems that genuinely improve user productivity
- Experience with data labeling, active learning, and continuous model improvement
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