Staff Software Engineer - Agent Quality

Навыки

• CI/CD
• Data Lake
• DevTools
• Распределённые системы
• LLM
• Мониторинг и observability
• Ответственность за результат

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
• At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems

Задачи

• Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams
• Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development
• Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform
• Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform
• As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents
• You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production

Требования

• 6+ years industry experience building software systems
• Strong Python programming skills, with experience building production or research infrastructure
• Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity
• Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications
• Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms
• A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams

Будет плюсом

• Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure
• Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

Паспорт вакансии

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