AI Software Development Engineer in Test (AI-SDET)
Tasks
- Build automated AI output validation pipelines
- Design LLM evaluation frameworks
- Develop UI and API automation frameworks
- Drive AI powered testing tool adoption
- Embed AI quality standards into SDLC
- Improve AI observability and reliability
- Integrate quality gates into CI/CD pipelines
- Test RAG system retrieval quality
- Validate AI agent workflows
Perks/Benefits
- Career growth opportunities
- Global projects exposure
- Healthcare support
- Hybrid work options
- Inclusive culture
- Learning and development support
- Mentorship opportunities
- Paid time off
- Remote work options
- Work-life balance programs
Skills/Tech-stack
AI Agent | AI agent orchestration | API Testing | AWS | Agent Orchestration | Agent systems | Azure | Benchmarking | CI/CD | Cloud Platforms | Docker | Embeddings | GCP | Kubernetes | LLM Evaluation | Langchain | Langgraph | MLOps | Microservices | Multi-Agent | Multi-Agent Systems | Playwright | Prompt engineering | Python | RAG | Robot Framework | Selenium | Semantic Scoring | Test automation | Vector Databases
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