GenAI Eval Software Engineer

RDQ426R88

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant and AI/BI Genie working with product teams, and made significant strides in using LLM for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others. 

The impact you will have:

As we continue to expand our GenAI capabilities, we're looking for a passionate Software Engineer (L4) to join our team building the GenAI Evaluation System — a critical foundation that ensures the quality, reliability, and performance of AI-driven products at scale.

In this role, you'll design and develop systems to evaluate Large Language Models (LLMs) and GenAI applications, enabling rapid experimentation, robust benchmarking, and continuous improvement across our AI products. You'll collaborate with ML engineers, product teams, and researchers to define what "good" looks like for GenAI Applications, driving impact across Databricks’s products.

• Design, build, and maintain scalable infrastructure for evaluating LLMs and GenAI-powered features.
• Develop automated testing, benchmarking, and monitoring frameworks to measure model quality and reliability.
• Collaborate closely with ML engineers, product managers, and researchers to define evaluation metrics and methodologies.
• Enable rapid iteration by building tools that support A/B testing, human-in-the-loop evaluations, and dataset management.
• Contribute to the evolution of best practices for GenAI evaluation across diverse use cases (e.g., Text-to-SQL, code assistance, conversational AI).

What we look for:

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 2+ years of industry experience in software engineering, preferably in infrastructure, platforms, or ML tooling.
• Strong coding skills in languages such as Python, Scala, or Java.
• Experience building scalable backend systems, distributed systems, or developer platforms.
• Familiarity with SQL, machine learning workflows, LLMs, or AI evaluation concepts is a plus.
• Strong problem-solving skills and a collaborative mindset

Why Join Us?

• Work at the forefront of GenAI, shaping how AI quality is defined and delivered at scale.
• Collaborate with world-class engineers and ML experts in a fast-paced, innovative environment.
• Contribute to impactful AI products used by enterprises worldwide.

Be part of a company built on open-source, transparency, and a strong engineering culture.