We are seeking a strong and passionate staff software engineer with experience in building chatbots. You will be responsible for creating scalable, reliable, manageable chatbots that deliver on conversational requirements at Uber by bringing together LLM prompts and Assistant building platforms at Uber. You will be owning customer facing chatbots that impact the support experience of millions of customers. You will also be leading the NLP based chatbot to GenAI based chatbot migrations as well as augmenting the existing GenAI chatbots with new features and capabilities. Your responsibility will include identifying required changes across Uber’s engineering ecosystem, collaborating with engineering teams, driving consensus, implementing extensible, maintainable changes required to build state-of-the-art support experiences.

We are looking for someone who has passion for designing and driving large projects from inception to production. The right person will work with stakeholders, product managers, scientists, partner engineering teams to gather requirements and translate them into a platform feature. Must be a great communicator, team player, and a technical powerhouse.

\-\-\-\- Basic Qualifications ----

01. 9+ years of experience in software development.
02. Experience with:
03. Scalable system architecture design
04. Production-quality services, deployment, monitoring, and reliability.
05. Micro service designs, gRPC or REST API development
06. Ability to decompose complex business problems into clean, extensible, performant services and systems
07. Logging, monitoring, performance troubleshooting and tuning experience
08. Excellent problem-solving skills and the ability to work in a collaborative team environment
09. Comfortable in navigating multi-disciplinary teams with respect
10. Focus on code quality in terms of coverage, code reviews
11. Excellent technical writing skills to communicate design, requirements, flows, architecture
12. Fluent in one of these programming languages: Golang, Scala, Java,
13. Comfortable in one of these scripting languages: Javascript, python
14. Solid understanding of algorithms, data structures, and software design principles.
15. Experience with version control systems such as Git.

\-\-\-\- Preferred Qualifications ----

1. Experience in machine learning, GenAI, or LLM technologies.
2. Experience with building conversational assistants
3. Dialog management systems like Google Dialogflow, Amazon Alexa
4. Familiarity with large scale distributed systems like Kafka and cloud platforms like AWS, GCP, or Azure.
5. Familiarity with communication channel interfaces eg: WhatsApp, SMS, slack

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

\*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).