Test Engineer

3 days ago

Bengaluru, India Sengol.ai Full time

Hiring: Test Engineer – AI-Augmented Test EngineerSengol.ai – IndiaSend your profile to : Equity (based on experience, TBD)Experience : 5-6 years is mustLocation: Remote/Hybrid – Bengaluru, IndiaType: 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 Responsibilities Evaluate LLM and agentic AI outputs for 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 rubrics for 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 datasets and scenarios covering edge cases, adversarial prompts, and real-world user queries.Collaborate with model and product teams to iterate on improvements, define acceptance criteria, and validate model updates.Run regression tests on 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 Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field—or equivalent practical experience.Experience with testing complex software systems , preferably involving ML or automation.Strong analytical and problem-solving skills; ability to identify subtle issues in AI outputs.Familiarity with Python and ability to write scripts for data manipulation, test automation, or evaluation tasks.Understanding of AI/ML basics , LLM behavior, prompt engineering concepts, and evaluation methodologies.Excellent documentation skills and ability to communicate findings clearly to technical teams.Preferred Qualifications Experience 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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