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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Agent Quality - **Company:** Databricks - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $190,000.0 - $270,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Continuous Integration, Distributed Systems, Iterative and Incremental Development, Python (Programming Language), Software Construction, Software Engineering, Datadog, Large Language Models, Multi-Agent Systems, Data Pipelines, Databricks - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=92688e254a210b82 ## About the Role Do you have experience in Design (software development lifecycle)?, * 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 Nice to have * 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 Pay Range Transparency ## Description 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. 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. The impact you will have * 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. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 176: Expensive Agents, Taking Over VSCode and Safer Vibe Coding](https://www.wearedevelopers.com/magazine/603-dev-digest-176-expensive-agents-taking-over-vscode-and-safer-vibe-coding) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding)