Software Engineer, Full Stack
Rad AI- Full Time
- Junior (1 to 2 years)
At Replicant, we believe AI should work for people, starting with customer service. We are seeking a Frontend Software Engineer to build rich user experiences on a robust and scalable architecture. You will work closely with customers and our product and machine learning teams to create powerful self-service tools that enable users to build powerful and delightful AI-powered conversations for callers.
Replicant's AI platform helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents. Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators, assisting with tasks like payment processing, appointment booking, and user authentication 24/7. Our conversation insights help contact center leaders coach better and improve every interaction.
We are leading the shift from legacy systems to AI-first service, powered by large language models (LLMs) and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.
Replicant has three core values:
AI-powered customer service solutions provider
Replicant provides AI-powered customer service solutions designed for businesses with high call volumes, such as restaurants and retail companies. Their platform operates in the cloud and integrates with existing systems like IVR, CCaaS, and CRM, allowing businesses to authenticate callers and resolve issues efficiently. Replicant's pay-as-you-go pricing model enables companies to adjust their customer service capacity based on demand, making it ideal for handling seasonal fluctuations. The platform is available 24/7, which helps eliminate wait times and enhances customer satisfaction. Replicant stands out from competitors by offering seamless integration with various systems and a flexible pricing structure, aiming to improve customer service operations and overall satisfaction for its clients.