AI Software Development Engineer in Test (AI-SDET)
USD 125K-188K (estimate) Senior-level Full Time
Tasks
- Automate GraphQL testing
- Automate REST API testing
- Automate microservices testing
- Build LLM output validation pipelines
- Champion AI testing tool adoption
- Create synthetic and benchmark datasets
- Design LLM evaluation frameworks
- Develop UI and API automation frameworks
- Embed AI quality practices into SDLC
- Evaluate AI system latency and cost
- Identify QA process gaps
- Integrate automation into CI/CD pipelines
- Introduce AI driven test generation
- Monitor AI behavior with observability logging tracing
- Operate Docker and Kubernetes environments
- Perform cloud based testing and deployments
- Run workshops for QA enablement
- Serve as AI quality subject matter expert
- Test multi agent orchestration workflows
- Validate AI agents frameworks
- Validate RAG architectures
- Validate distributed reliability and resiliency
- Validate tool calling and structured outputs
Perks/Benefits
- Annual bonus
- Extra paid days off
- Global project opportunities
- Health care
- In-company English lessons
- Internet reimbursement
- LinkedIn Learning
- Mentorship
- Referral program
- Tuition reimbursement
- Work from home hybrid option
- Work-life balance
Skills/Tech-stack
AI evals | API Automation | AWS | Autogen | Azure | Azure DevOps | CI/CD | ChromaDB | Cloud platform | Context engineering | CrewAI | Cypress | Data Validation | Docker | Embeddings | Faiss | GitHub Actions | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | GraphQL | Jenkins | Kubernetes | LLM Testing | Langchain | Langgraph | Latency testing | Logging | Microservices | Observability | OpenAI SDK | Pinecone | Playwright | Prompt engineering | Python | Qdrant | Quality Engineering | RAG | REST APIs | Robot Framework | SQL | SQL Data | SQL data validation | Selenium | Semantic Kernel | Semantic Scoring | Software testing | Structured Assertions | Token usage | Tracing | UI Automation | Vector Search | Weaviate
Education
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