LLM Evaluation Engineer — Quality & Automation

Grid Dynamics; United States; On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Flexible schedule

Medical insurance

Vision and dental

Corporate social events

Professional development opportunities

Well-equipped office

Job summary

Grid Dynamics in the United States is seeking a Machine Learning Engineer specializing in LLM‑based evaluation to design and build automated systems that measure and improve the quality of model outputs.

You will lead evaluation pipelines, develop metrics, and deliver actionable insights for continuous product improvements while collaborating with cross‑functional teams across data science, engineering, and product.

Qualifications

• 5+ years of experience in ML engineering, NLP, or AI/ML automation.
• Hands‑on experience in prompt engineering and designing LLM‑based evaluation systems is preferred.
• Strong understanding of machine learning principles with a focus on NLP and advanced LLM capabilities (e.g., Chain‑of‑Thought, agentic workflows).

Responsibilities

• Design and implement automated systems and pipelines for evaluating LLM outputs.
• Develop metrics and KPIs to measure output quality, accuracy, and consistency using LLM‑based evaluations.
• Collaborate with Engineering teams to create automated logic checks and validation tools.
• Partner with Data Scientists to analyze evaluation results and optimize prompt and task structures.
• Provide feedback loops to ensure evaluation guidelines align with LLM‑based assessments.
• Investigate how LLM‑derived evaluations can enhance product reliability and user experience.
• Recommend refinements to prompt engineering, evaluation strategies, and automation tools.
• Stay informed on emerging trends in LLM evaluation, automated quality assessment, and AI toolchains.
• Continuously improve and expand automated evaluation processes based on industry best practices.

Skills

Python

SQL

Prompt engineering

LLM evaluation

NLP

Education

Bachelor’s/Master’s in Computer Science/Engineering

Tools

PySpark

Job description

Grid Dynamics in the United States is seeking a Machine Learning Engineer specializing in LLM‑based evaluation to design and build automated systems that measure and improve the quality of model outputs.

You will lead evaluation pipelines, develop metrics, and deliver actionable insights for continuous product improvements while collaborating with cross‑functional teams across data science, engineering, and product.