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Текст:
Hirify AI/Оригинал
TL;DR
AI Automation Engineer (AI Testing/Python): Building automated testing and evaluation frameworks for generative AI, predictive AI, and AI-powered developer experience solutions with an accent on model quality, reliability, and continuous validation. Focus on analyzing AI-generated outputs, creating benchmark datasets and prompt libraries, integrating evaluation pipelines with CI/CD, and supporting responsible AI governance.
Location: Vienna, Virginia, United States; hybrid work with onsite and remote attendance
Company
hirify.global provides outsourced services and workforce solutions across North America.
What you will do
Design, develop, and maintain testing and evaluation frameworks for generative AI, predictive AI, and AI-powered developer experience solutions.
Create automated test suites and evaluation pipelines for model behavior, output quality, accuracy, reliability, and performance.
Perform functional, regression, performance, and scenario-based testing of AI-enabled applications and services.
Analyze AI-generated outputs for defects, hallucinations, bias, inconsistencies, and other quality issues.
Build test datasets, benchmark scenarios, prompt libraries, and evaluation artifacts.
Collaborate with software, AI, and platform engineers on quality metrics, root-cause analysis, documentation, and responsible AI evaluation.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Science, or a related technical field.
3+ years of experience in software testing, quality engineering, test automation, or AI/ML testing.
Strong Python programming and scripting skills, with experience building automated test frameworks and pipelines.
Experience with APIs, automated integration testing, CI/CD environments, data validation, defect investigation, and source control.
Understanding of machine learning, generative AI, large language models, AI-powered applications, statistical analysis, and evaluation techniques.
Strong analytical, troubleshooting, communication, and collaboration skills in an agile environment.
Nice to have
Experience with generative AI, LLM, or Retrieval-Augmented Generation systems and evaluation tools such as DeepEval, Ragas, or LangSmith.
Knowledge of LLM observability, monitoring, traceability, prompt engineering, and benchmark dataset creation.
Experience with Azure AI, GitHub Copilot, OpenAI, Hugging Face, LangChain, performance testing, or reliability engineering.
Experience with developer platforms, DevEx initiatives, enterprise, or regulated technology environments.
Culture & Benefits
Contract role with a 40-hour work week and a hybrid onsite/remote model.
Collaborative work with software engineers, AI engineers, and platform teams.
Eligible employees may receive medical, dental, vision, spending account, life insurance, voluntary plan, and 401(k) benefits.
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