AI Software Development Engineer in Test – AI-SDET
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Job Description
AI Software Development Engineer in Test at Network Solutions driving AI quality improvements with a focus on automated testing tools and AI frameworks. Collaborating across teams to enhance quality engineering practices.
Responsibilities:
- Champion the adoption of AI-powered testing tools and practices across the QA Guild
- Identify gaps in current QA processes and introduce AI-driven solutions
- Run workshops, lunch-and-learns, and knowledge-sharing sessions
- Serve as the internal subject matter expert on AI quality standards
- Collaborate with QA leads, engineering managers, and product teams
- Design and maintain evaluation (Evals) frameworks
- Build automated validation pipelines for LLM outputs
- Validate RAG architectures
- Test multi-agent orchestration workflows
- Create synthetic and benchmark datasets for AI testing scenarios
- Develop and maintain scalable UI and API automation frameworks
- Automate testing across various architectures
- Build reusable automation libraries and utilities
- Validate AI agents built on various platforms
- Monitor AI system behavior using observability tools
- Perform cloud-based testing and deployments across major cloud platforms
Requirements:
- 4–10+ years of engineering experience
- 2–4 years focused on AI/ML
- Strong Python skills
- Hands-on experience with AI/LLM testing
- 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)
- Experience with API testing, microservices testing, and UI automation
- SQL proficiency and data validation experience
- Strong analytical, debugging, and troubleshooting skills
- Experience working in Agile/Scrum environments
Benefits:
- OSDE 310 Health Care
- Monthly Salary Reviews
- Tuition Reimbursement
- Internet Reimbursement
- In-company English Lessons
- LinkedIn learning
- Referral Program Bonus
- F5 extra days off
- Annual Bonus
- Opportunity to work on Global projects with Multicultural team
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