Job description

We re looking for a Senior AI Engineer to join Procore s Evals & Goldsets team, which measures and improves the quality of the AI agents we ship to the construction industry. You ll build and run the systems that tell our AI teams how well their agents are doing: production tracing in Langfuse and Databricks, our online LLM judge, and the goldsets and benchmarks behind our offline evals. As a Senior AI Engineer , you will partner with data and ML engineers to make our evals faster, cheaper, more trustworthy, and harder to saturate, and you ll turn production traces into feedback loops that improve agent behavior. We re a small, fast-moving team that pairs hands-on building with architecture and review, and we value engineers who are rigorous about measurement and comfortable with ambiguity. If you want to shape how AI in construction gets tested and improved, come join us. This hybrid position reports to the Engineering Manager for Evals & Goldsets and will be based in our Austin, TX office. What you’ll do: Improve our online evals: LLM judge accuracy, calibration, and the infrastructure that runs it in production. Build and maintain production trace infrastructure with Langfuse and Databricks. Build and maintain data pipelines for the goldsets behind our evals, including annotation and quality checks. Build agentic loops that mine production traces for failures and turn them into new eval cases and agent improvements. Improve the runtime, cost, and reliability of our online and offline eval pipelines. Contribute code and architecture, review designs, and mentor other engineers on the team. What we’re looking for: 5 years of experience in software, AI, or ML engineering. Strong proficiency in Python; experience with TypeScript is a plus. Experience evaluating LLM systems, such as LLM-as-judge, rubric design, goldset curation, or measuring judge agreement. Experience with LLM observability or evaluation tools such as Langfuse, Braintrust, or similar. Experience building data pipelines, ETL processes, or streaming data systems. Experience with analytics platforms and data warehouses such as Databricks or Snowflake. Ability to communicate eval results clearly and influence the teams that build on them. Degree in computer science or a related technical field, or equivalent practical experience. Additional Information Base Pay Range: 140,960.00 - 193,820.00 USD Annual This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location. For Los Angeles County (unincorporated) Candidates: Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore s information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

Requirements

Must-haves

This hybrid position reports to the Engineering Manager for Evals & Goldsets and will be based in our Austin, TX office.
Improve our online evals: LLM judge accuracy, calibration, and the infrastructure that runs it in production.
Build and maintain production trace infrastructure with Langfuse and Databricks.
Build and maintain data pipelines for the goldsets behind our evals, including annotation and quality checks.
Build agentic loops that mine production traces for failures and turn them into new eval cases and agent improvements.
Improve the runtime, cost, and reliability of our online and offline eval pipelines.
Contribute code and architecture, review designs, and mentor other engineers on the team.
5 years of experience in software, AI, or ML engineering.
Experience evaluating LLM systems, such as LLM-as-judge, rubric design, goldset curation, or measuring judge agreement.
Experience with LLM observability or evaluation tools such as Langfuse, Braintrust, or similar.
Experience building data pipelines, ETL processes, or streaming data systems.
Experience with analytics platforms and data warehouses such as Databricks or Snowflake.
Ability to communicate eval results clearly and influence the teams that build on them.
Degree in computer science or a related technical field, or equivalent practical experience.
Additional Information
140,960.00 - 193,820.00 USD Annual

Nice-to-haves

Strong proficiency in Python; experience with TypeScript is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmmlpythontypescript

Platform: workday
Effort: long