Uber's Customer Obsession team is looking to solve the problem of creating seamless, tailored in-app support experiences for millions of users across various lines of business. This involves building advanced automation solutions, including generative AI and Voice AI, to enhance customer care and engagement through messaging, chat, and phone support.
Requirements
- Scalable system architecture design
- Production-quality services, deployment, monitoring, and reliability.
- Microservice designs, gRPC or REST API development
- Experience with conversational Voice AI.
- Experience in applying AI-powered tools and frameworks in line with modern industry practices and innovation trends.
- Logging, monitoring, performance troubleshooting and tuning experience
- Fluent in one of these programming languages: Golang, Scala, Java,
Responsibilities
- design and implement innovative solutions that enhance customer care and drive engagement across various channels, including messaging, chat, and phone support.
- building and enhancing the tools and systems that support our customer communication channels.
- creating scalable, reliable, manageable solutions that deliver on requirements at Uber by bringing together platforms leveraging AI at Uber.
- owning customer facing products that impact the support experience of millions of customers.
- identifying required changes across Uber's engineering ecosystem, collaborating with engineering teams, driving consensus, implementing extensible, maintainable changes to build state-of-the-art support experiences.
- designing, implementing, and unit testing the backend application code.
- defining an architecture that would scale and also encourage best practices.
Other
- 6+ years of experience in software engineering
- Bachelor's degree in Computer Science or related field
- Must be a great communicator, team player, and a technical powerhouse.
- Excellent problem-solving skills and the ability to work in a collaborative team environment
- Comfortable in navigating multi-disciplinary teams with respect
