Test Engineer

4 hours ago


New Delhi, India Sengol.ai Full time

Hiring: Test Engineer – AI-Augmented Test Engineer Sengol.ai – India Send your profile to careers@sengol.ai Compensation: Equity (based on experience, TBD) Experience : 5-6 years is must Location: Remote/Hybrid – Bengaluru, India Type: Founding Team | Full-Time | Part-Time (conflict-free, highly committed professionals)Do not apply if you do not have experience working with AI-Assisted coding.About the RoleSengol.ai is building an AI-native Risk intelligence platform. As a Founding Engineer, you will work directly with the founders to test and certify the quality of the product. We are seeking engineers who embrace AI-augmented testing, iterate quickly, and are ready to tackle complex, evolving challenges using AI-assisted coding workflows.Interviews will focus on your ability to work with AI-driven development environments (e.g., Claude, Cursor), Test approach and methods indepth, and testing end-to-end integration.You will work closely with AI researchers, product managers, and software engineers to continuously refine model behavior, enhance evaluation frameworks, and contribute to safer and more reliable AI-driven products.Key ResponsibilitiesEvaluate LLM and agentic AI outputsfor correctness, coherence, safety, relevancy, and adherence to product requirements. Design and run test plans, including manual evaluations, scripted tests, and automated QA workflows for AI output quality. Create and refine evaluation rubricsfor model accuracy, hallucination detection, robustness, bias, and user experience. Identify issues, patterns, and model failure modes, and clearly document them for engineering and research teams. Develop synthetic test datasetsand scenarios covering edge cases, adversarial prompts, and real-world user queries. Collaborate with model and product teamsto iterate on improvements, define acceptance criteria, and validate model updates. Run regression testson model versions to ensure expected improvements and detect any performance degradation. Contribute to tooling and automation, including prompt evaluation scripts, output comparison tools, and internal dashboards. Verify agentic workflows and tool-using AI behavior, ensuring correct reasoning, action calls, tool usage, and task sequencing. Participate in safety testing, including red-teaming tasks to probe for unsafe or unintended AI behaviors. Required QualificationsBachelor’s degree in Computer Science, Engineering, Mathematics, or related field—or equivalent practical experience. Experience withtesting complex software systems, preferably involving ML or automation. Strong analytical and problem-solving skills; ability to identify subtle issues in AI outputs. Familiarity withPythonand ability to write scripts for data manipulation, test automation, or evaluation tasks. Understanding ofAI/ML basics, LLM behavior, prompt engineering concepts, and evaluation methodologies. Excellent documentation skills and ability to communicate findings clearly to technical teams. Preferred QualificationsExperience testing or evaluating LLMs, generative AI, or agent-based systems. Knowledge of automated evaluation frameworks, prompt-based testing, or RLHF-style methodologies. Background in safety evaluation, bias detection, or trust & safety for AI systems. Experience with API-based tools, reasoning agents, or tool-calling AI architectures. Ability to think like an adversary and design robust edge-case scenarios.


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