ai - Principal Engineer - Testing

2 days ago

Bengaluru, Karnataka, India Codvo Full time ₹ 1,20,000 - ₹ 3,00,000 per year

Description :

Job Title : Principal Engineer, Test AI Core Services Development.

Location : Bangalore (WFO).

Time 9 : 30AM 6 : 30PM.

Role Requirement :

We are looking for detail-oriented and forward-thinking Test Engineer to ensure the quality, performance, and security of our Core AI Services.

You will help validate distributed, cloud-native services and public APIs that form the foundation for enterprise AI capabilities.

This role demands deep technical skill and a passion for delivering robust, secure, and ethical AI services at scale.

Youll be a part of a Scrum team and work closely with developers and architects to design effective validation strategies, automated testing frameworks, and AI-specific evaluation tools with a builder mindset rapid prototyping and continuous improvement with agility of a start-up.

Key Responsibilities :

- Perform functional, performance, and security testing on cloud-native services deployed on Microsoft Azure.

- Design and implement automated test suites for APIs, service components, and AI pipelines.

- Automate the evaluation of AI system outputs to ensure accuracy, consistency, and safety of responses.

- Collaborate with developers and data scientists to establish service-level quality metrics and observability hooks.

- Validate services against AI regulatory frameworks and ensure traceability, fairness, and robustness in outcomes.

- Participate in threat modelling and security validation of exposed APIs and AI services.

- Provide feedback early in the lifecycle to reduce defects and improve design.

- Mentor junior testers, encourage continuous learning, and contribute to a culture of innovation.

AI & Cloud Expertise :

- Familiarity with LLM evaluation techniques, output scoring, and validation frameworks.

- Understanding of key concepts such as prompt engineering, RAG, model orchestration, and hallucination detection.

- Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations.

- Defining Performance Metrics for AI services and testing for the same.

- Awareness of AI safety, bias detection, and explainability techniques.

- Experience ensuring compliance with AI regulations and standards (e.g., NIST AI RMF, EU AI Act).

- Strong belief in ethical AI practices, transparency, and end-user trust.

Core Skills and Qualifications :

years of experience in software testing, QA, or validation roles for cloud-native applications using Microsoft and .NET technologies.

- Proficient in designing automated testing frameworks.

- Hands-on experience with Azure DevOps, CI/CD pipelines, and containerized test environments.

- Strong understanding of API testing, performance profiling, and security testing (including OWASP top 10).

- Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.

- Experience working in Agile teams and collaborating across global R&D locations.

- Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation.

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