Position: AI SDET
Location: Sunnyvale, CA
Pay: $65/hr- $67/hr on c2c and $53/hr on w2
Job Summary:
We are seeking an innovative AI Software Development Engineer in Test (AI-SDET) to join our client's quality engineering team. An ideal candidate would bridge the gap between traditional QA and artificial intelligence by designing self-healing test automation frameworks, validating Large Language Models (LLMs), and integrating AI agents into CI/CD.
Experience Required:
6 to 8 years of hands on experience in software quality engineering, test automation and AI ML development.
Qualifications/Required Skills:
- Bachelor's degree in computer science, or a related field.
- Proficiency in Python/Java/Scala.
- Proficiency with modern tools - Playwright.
- Experience with LLM APIs (e.g. Claude, OpenAI) and agent frameworks (e.g. LanEligible to workhain)
- Clouse based platforms with AI integration ( Azure Open AI, AWS Open AI)
- Strong understanding of CI/CD pipelines and containerization (Docker).
- Strong experience validating complex RESTful APIs, microservices and databases (SQL/NoSQL).
- Experience with Retail Domain is preferred, not a constraint though
Key responsibilities:
- AI Framework Architecture: Architect and maintain enterprise-grade, scalable automation frameworks.
- GenAI and Agentic automation: Build intelligent test agents, automated prompt-engineering validators, and self-healing test execution scripts.
- Model and Evals validation: Design and maintain evaluation frameworks covering hallucination detection, roundedness, toxicity, bias and safety guardrails.
- Synthetic Data Generation: Design AI-driven data generation pipelines to simulate complex, production-like testing scenarios.
- ML Pipeline testing: Validate RAG (Retrieval-Augmented Generation) architectures, embedding quality, retrieval accuracy, and vector search relevance.
- Intelligent testing: Build smart test selection and impact analysis systems that predict which test suits to run based on specific code changes.
- Framework Development: Develop and enhance scalable, robust automation scripts for UI, API, and backend validation using modern languages and frameworks.
- CI CD Integration: Work alongside MLOps teams to build continuous testing and automated verification pipelines.
Behavioral Skills:
- Strong analytical and problem-solving skills with a passion for adEligible to workion new AI Technologies.
- Excellent Communication skills and collaboration skills
- Ability to propose and implement improvements in the system
- Ability to work with cross-functional stakeholders
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