AI SDET – Software Development Engineer in Test
Posted 13hrs ago
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Job Description
AI SDET testing AI agents for safety, compliance, and accuracy at CI&T, an enterprise AI and technology transformation company. Managing evaluation harnesses, regulatory quality gates, shadow validation, and adversarial automated testing.
Responsibilities:
- Own and manage the Langfuse evaluation harness, including creation of "Golden Paths" and adversarial test scenarios
- Validate regulatory quality gates (SR 26-2, NYDFS Reg 187)
- Run shadow mode validation to compare AI performance against human benchmarks
- Test for data quality degradation, population segmentation errors, and human-in-the-loop (HITL) checkpoint reliability
- Verify that the Designer’s output standards, including explanation blocks and signal types, are maintained in all evaluation scenarios
- Find edge cases through skeptical and adversarial testing
- Collaborate with engineers to fix logic failures
Requirements:
- Advanced proficiency in Python 3.11+, Pytest, and automated testing frameworks
- Direct experience with AI evaluation tools such as Langfuse, RAGAS, or similar
- Experience with LLM-as-a-judge patterns
- Knowledge of model risk management and regulatory compliance testing
- Experience with shadow mode deployment strategies and statistical validation
- Skeptical and adversarial mindset to find edge cases
- Uncompromising attention to detail regarding regulatory evidence
- Collaborative approach to working with engineers to fix logic failures
Benefits:
- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
- Profit Sharing and Results Participation (PLR);
- Life insurance
- Continuous learning platform (CI&T University);
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform


















