Machine Learning Engineer - LLM Evaluation & Automation

Overview

We are seeking a Machine Learning Engineer to join a high-impact team focused on advancing LLM evaluation, NLP, and AI-driven automation. This role centers on designing scalable evaluation frameworks, optimizing prompt strategies, and building systems that ensure high-quality, consistent model outputs across product domains. You will partner closely with product, engineering, and research teams to drive measurable improvements in AI performance. This is a hands-on role with a strong emphasis on LLM evaluation systems, prompt engineering, and data-driven model optimization.

Job Details

• Location: Culver City, CA (Hybrid with 3 days a week onsite)
• Pay Rate: $60-70 hr/w2
• Job Type: Contract
• Contract Length: 6 months
• Experience Level: Mid-level to Senior

Key Responsibilities

• Design and build LLM-based evaluation frameworks, including automated scoring pipelines and rubric-based grading systems
• Build and maintain data pipelines for evaluation datasets using Python, SQL, and scalable processing tools
• Translate complex evaluation results into clear, actionable insights for technical and non-technical stakeholders
• Implement automation workflows and agentic evaluation systems to improve efficiency and reduce manual efforts
• Develop prompt engineering strategies to evaluate output quality, accuracy, and consistency
• Create and maintain metrics, KPIs, and dashboards to track and communicate model performance
• Conduct error analysis, root-cause investigations, and quality deep dives to guide model improvements
• Partner cross-functionally to define evaluation methodologies and integrate them into production workflows

Must-Have Qualifications

• 5+ years of experience in ML engineering, NLP, or AI/ML automation
• Strong programming skills in Python and SQL
• Deep understanding of machine learning concepts with a focus on NLP and advanced LLM capabilities (e.g., Chain-of-Thought, agentic workflows)
• Experience working with large-scale datasets and data pipelines
• Strong experience with LLM evaluation, prompt engineering, or auto grading systems
• Experience developing metrics and KPIs to measure model output quality and consistency

Nice-to-Have

• Experience with LLM-as-judge systems or human + model evaluation frameworks
• Background in inter-rater reliability, evaluation calibration, or judged systems design
• Experience with PySpark or distributed data processing tools
• Exposure to building dashboards or visualization tools for model performance tracking

Technical Skills

Python, SQL, NLP, LLM Evaluation, Prompt Engineering, Machine Learning, Data Pipelines, Automation Systems

Pay and Benefits

The pay range for this position is $60.00 - $70.00/hr. Eligibility requirements apply to some benefits. If eligible, benefits may include:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan
• Life Insurance
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia.

Note: The company is an equal opportunity employer.