• On the Analytics Agent team, you will work at the forefront of agentic application development, building groundbreaking, multi-modal products and tools that transform how people engage with data
• This is an opportunity to contribute to a dynamic, fast-paced environment, applying your expertise to build scalable, data-intensive systems for analytics
• Collaborate with product managers, fellow engineers, and researchers to build next-generation generative AI products and prototypes to make our customers successful
• Propose and rapidly iterate on ideas and experiments, as though in a startup environment, to achieve product-market fit for cutting-edge analytics agents
• Build and shape user experiences using context engineering and generative AI capabilities
• Design and build scalable and performant agentic systems, taking throughput and latency into account, recognizing how and where to apply parallel processing, stream processing, and asynchronous I/O
• Evaluate the performance and quality of the agentic solutions you are building against customer use cases
• Solve challenges with probabilistic software, ensuring defensive error handling, streaming data optimization, caching, and explainability
• Implement logging, tracing mechanisms, and tools to facilitate debugging, diagnostics, and performance tracking

Engage in light DevOps tasks, leveraging infrastructure best practices to deploy and monitor AI-driven systems

• Adaptable and Innovative Mindset: Fearless about learning new technologies and excited to work in a fast-paced, ambiguous environment
• Possess a problem-first approach with a careful and principled methodology for building resilient systems
• Expertise in shaping experiences with LLMs and agents
• Proficient with evaluation of ML model performance
• Strong Programming and Distributed Systems Development Skills: Proficient in Python, Java, or other languages
• Experience building full-stack applications with expertise in either backend, frontend, or both
• Ability to handle error cases, write asynchronous code, and work effectively with streaming data
• Professional experience in developing, scaling, and maintaining applications at a production scale
• Experience with Modern Software Development Practices: Familiar with DevOps principles, infrastructure best practices, and cloud-based deployments

Knowledgeable about queues, message buses, and event-driven architectures