AI Software Development Engineer in Test (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Software Development Engineer in Test (AI/Python): Designing and implementing AI-powered testing frameworks and evaluation pipelines for LLM outputs and RAG architectures with an accent on hallucination detection and agent validation. Focus on automating validation for multi-agent workflows, building synthetic datasets, and upskilling the QA guild in AI-native quality engineering.
Location: Remote (Must be based in Argentina)
Company
(Network Solutions) is a digital identity authority providing domain security, brand protection, and infrastructure management for online businesses.
What you will do
- Champion the adoption of AI-powered testing tools and self-healing frameworks across the QA Guild.
- Design evaluation (Evals) frameworks for LLM outputs, covering hallucination, groundedness, toxicity, and safety guardrails.
- Validate RAG architectures, including chunking strategies, embedding quality, and vector search relevance.
- Develop scalable UI and API automation frameworks using Python, Robot Framework, and Playwright/Selenium.
- Test multi-agent orchestration workflows, including agent memory, context retention, and MCP integrations.
- Integrate automation and quality gates into CI/CD pipelines such as GitHub Actions, Jenkins, and Azure DevOps.
Requirements
- Must be based in Argentina.
- Strong programming experience in Python.
- Hands-on experience with AI/LLM testing, prompt engineering, and AI Evals.
- Practical experience with RAG systems, AI agents, and vector databases.
- Experience with CI/CD pipelines, Docker, Kubernetes, and at least one major cloud platform (AWS, Azure, OCI, or GCP).
- Proficiency in SQL and experience with API and UI automation testing.
Nice to have
- Experience with Robot Framework and Playwright.
- Knowledge of LangChain, LangGraph, LlamaIndex, CrewAI, or Semantic Kernel.
- Experience with AI Red Teaming or LLM security testing (prompt injection, jailbreaks).
- Familiarity with MLOps workflows and performance testing.
Culture & Benefits
- Flexible work environment scenarios: work-from-home, hybrid, or office-based.
- Health care (OSDE 310), monthly salary reviews, and annual bonuses.
- Professional development via tuition reimbursement, LinkedIn Learning, and in-company English lessons.
- Additional "F5" extra days off and internet reimbursement.
- Inclusive environment with over 20 affinity groups and opportunities to work on global, multicultural projects.
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