Staff Software Engineer- Databricks AI

<p>P-1700</p> <p>At Databricks, we are passionate about helping enterprises that build ML models and AI agents deliver high-quality AI to production fast. Founded by engineers, and customer obsessed, we leap at every opportunity to tackle technical challenges, from designing great developer experiences to building reliable systems at global scale. And we're only getting started.</p> <p>Our team builds the MLOps and LLMOps platform that millions of AI developers and ML practitioners use to track model training experiments, manage model registry, observe and evaluate AI agents. We're the team behind <a href="https://mlflow.org/">MLflow</a>, the most widely adopted open-source AI engineering platform with more than 30 million package downloads per month, and its managed service used by thousands of organizations globally. We're now expanding to Bengaluru, India, and building our first AI engineering team there from scratch to work on this platform.</p> <p>As a <strong>Staff Software Engineer</strong> and a founding member of the Bengaluru team, you'll be the team's technical lead. You'll set the platform strategy and architecture, drive alignment with partner teams, and lead the team to deliver a world-class MLOps and LLMOps platform, while staying hands-on.</p> <p>&nbsp;</p> <p>Check out our recent blog post: <a href="https://www.databricks.com/blog/costar-how-we-ship-ai-agents-databricks-fast-without-breaking-things">coSTAR: How we ship AI agents at Databricks fast, without breaking things</a></p> <p>&nbsp;</p> <p><strong>The impact you will have:</strong></p> <ul> <li>Define the platform strategy and long-term architecture.</li> <li>Lead engineering efforts from design to production rollout, with high standards for performance, correctness, and reliability.</li> <li>Solve hard problems in ingesting and querying traces, metrics, and artifacts at scale, and in evaluating AI agents in production.</li> <li>Align product, research, and engineering teams across sites on t