Software Engineer (AI)

Reevo • Santa Clara, CA

84d

About The Position

We are seeking AI-focused Software Engineers at all levels (Junior, Senior, Staff, Senior Staff) who 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. The ideal candidate is 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. In this role, you will collaborate with engineering, product, and data teams to design and implement AI-powered features and systems. You will be expected to bring both cutting-edge AI knowledge and practical engineering skills to build scalable, reliable AI applications that directly impact our users. Join us at Reevo Inc., where our initial focus on enhancing workflows for Account Executives (AE) and Sales Development Representatives (SDR) has laid the foundation for our ambitious goal to build an end-to-end solution designed to replace the entire CRM ecosystem and its point solutions. Backed by top tier venture investors in Silicon Valley and tens of millions raised, we are poised to redefine sales technology. This is your opportunity to be a pivotal part of a dynamic team committed to transforming how businesses manage their sales processes. At Reevo, we're reimagining the entire revenue stack from the ground up, and we're doing it with speed. We're building software that orchestrates every go-to-market motion, enabling B2B teams to operate faster, smarter, and more collaboratively. By combining automation, intelligence, and a radically intuitive interface, we're helping companies unlock new levels of productivity and growth across marketing, sales, ops, and customer success teams. If you're excited about working on a product that reshapes how revenue teams work and being surrounded by curious, driven teammates, you'll feel right at home here. From day one, you'll get real ownership, real mentorship, and real impact. Our team of 50+ builders has 30 exits under their belt, so you'll be in good company, and working alongside the best!

Requirements

• 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

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
• 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 This Job Offers

• Job Type: Full-time
• Career Level: Entry Level