Litmus7
NI QE (Neural Intelligence Quality Engineer)
Skills
3 months ago
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Important information
Contract type:
Permanent
Location:
Thiruvananthapuram, Kerala, India
Work mode:
Onsite
Published on:
7 August 2026
What they need
Job Title: NI QE (Neural Intelligence Quality Engineer) Roles And Responsibilities Intelligence Testing : Design, develop, and execute comprehensive test plans to evaluate and validate the intelligence, reasoning, and awareness of an Artificial General Intelligence system. This includes:
- Creating novel tests that push the boundaries of current AI evaluation, going beyond typical benchmarks to probe for genuine understanding and sentience.
- Developing scenarios to assess the system’s ability to handle ambiguous, abstract, and open-ended problems.
- Evaluating the system's capacity for self-awareness, realtime-learning, continous learning, moral reasoning, and knowledge consistency.
- Collaborating with researchers and ethicists to design and implement tests that explore the system's knowledge and ethical alignment.
- System Quality Assurance : Ensure the reliability, performance, and security of the AGI system and its underlying infrastructure.
- Develop and execute test cases for the system’s core APIs, data pipelines, and hardware integration.
- Automate complex test scenarios using frameworks like Pytest, ensuring reproducibility and scalability.
- Identify and report on system anomalies, data inconsistencies, and performance degradation.
- Collaborate with engineering teams to ensure the system is robust, secure, and ready for deployment.
Qualifications
- Proven experience in a senior QA or testing role, with a strong background in testing complex, AI-driven systems.
- Deep understanding of AI/ML concepts and their practical applications.
- Familiarity with philosophical concepts of knowledge, intelligence, and ethics.
- Fair programming skills, with a focus on Python and automated testing frameworks.
- Exceptional analytical and problem-solving abilities, with a passion for tackling unprecedented challenges.
- Excellent communication skills, with the ability to articulate complex concepts and findings to both technical and non-technical stakeholders.
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