Staff AI Engineer — LLMs, Reasoning & Evaluation

APADCode; Clifton (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity opportunities

Health benefits (location-based)

Flexible working arrangements

Paid time off

Equipment and development support

Job summary

APADCode is a startup building an AI-powered platform to measure and evaluate engineering reasoning during technical interviews. As a Member of Technical Staff, you’ll own core AI intelligence development, turning early research into reliable production systems and shaping how we measure engineering reasoning.

You’ll work on LLM-powered pipelines, scoring and calibration methods, and experiments to assess model accuracy, bias, and reliability, with direct impact on product architecture and

Qualifications

• Strong software engineering fundamentals and hands-on experience building production ML or AI systems.
• Proficiency in Python and modern machine learning frameworks.
• Practical experience with LLMs, NLP, model evaluation, or applied ML.
• Solid understanding of data modeling, statistics, experimentation, and ML system design.
• Ability to navigate ambiguous problems, challenge assumptions, and independently drive technical decisions.
• A strong bias toward building, measuring, and improving systems in the real world.

Responsibilities

• Design and improve AI systems for extracting structured reasoning signals from technical interviews.
• Build LLM-powered pipelines for semantic analysis, behavioral feature extraction, and evaluation.
• Develop scoring, calibration, and benchmarking methods grounded in measurable evidence.
• Design experiments and evaluation frameworks to measure model accuracy, reliability, bias, and consistency.
• Build scalable inference and data pipelines, balancing model quality, latency, and cost.
• Collaborate on product architecture and help define the technical direction of our AI platform.

Skills

Production ML systems

Python

ML frameworks

NLP

Model evaluation

Data modeling

Statistics

Experimentation

ML system design

Ambiguity navigation

Tools

LLMs

Job description

APADCode is a startup building an AI-powered platform to measure and evaluate engineering reasoning during technical interviews. As a Member of Technical Staff, you’ll own core AI intelligence development, turning early research into reliable production systems and shaping how we measure engineering reasoning.

You’ll work on LLM-powered pipelines, scoring and calibration methods, and experiments to assess model accuracy, bias, and reliability, with direct impact on product architecture and