GenAI Eval Software Engineer
GenAI Eval Software Engineer
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1 Vacancy
Job Description
RDQ426R88
At Databricks we are passionate about enabling data teams to solve the worlds 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 worlds 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 nextgen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And were only getting started.
The Applied AI team at Databricks sits at the forefront of advancing GenAIpowered products. Over the past years weve 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 texttosql generation automatic pipeline generation knowledge QA and many others.
The impact you will have:
As we continue to expand our GenAI capabilities were 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 AIdriven products at scale.
In this role youll 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. Youll collaborate with ML engineers product teams and researchers to define what good looks like for GenAI Applications driving impact across Databrickss products.
- Design build and maintain scalable infrastructure for evaluating LLMs and GenAIpowered 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 humanintheloop evaluations and dataset management.
- Contribute to the evolution of best practices for GenAI evaluation across diverse use cases (e.g. TexttoSQL code assistance conversational AI).
What we look for:
- Bachelors 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 problemsolving 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 worldclass engineers and ML experts in a fastpaced innovative environment.
- Contribute to impactful AI products used by enterprises worldwide.
Be part of a company built on opensource transparency and a strong engineering culture.
Employment Type
Full Time
