About the role
About Us: 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!
About
the Role: Our team is looking for experienced AI-focused Software Engineers who are passionate about building intelligent systems that solve real user problems. The ideal candidate brings deep technical expertise in AI/LLM systems and strong software engineering fundamentals, with experience developing production-ready AI applications from experimentation to deployment. In this role, you’ll collaborate with engineering, product, and data teams to design and implement AI-powered features and systems. You’ll apply your AI expertise and practical engineering skills to build reliable applications, improve system performance, and deliver intuitive user experiences that directly impact our users. What You’ll Do: Design and implement retrieval augmented generation (RAG) systems for contextual AI responses Build evaluation platforms and frameworks to measure AI system performance and quality Develop novel interaction patterns and user experiences for large language model integrations Build systems for data collection, labeling, and continuous improvement of AI models Collaborate closely across teams to identify opportunities where AI can create meaningful user value 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 You Bring: 5+ years of software engineering experience, with significant focus on building 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 Proficiency in analyzing AI system performance and implementing improvements Experience with vector databases, embedding systems, and semantic search Knowledge of AI safety practices and responsible AI development Strong communication skills, with the ability to explain AI concepts to technical and non-technical stakeholders What we offer: