Quick Summary
Overview
Job Title: Principal Engineer, Test – AI Core Services Development Location: Bangalore (WFO) Time – 9:30AM – 6:30PM Company OverviewAt Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company.
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.
Technical Tools
azureagileci-cd
Requirements
~1 min read- 12+ 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
Responsibilities
~1 min read- →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.
Location & Eligibility
Where is the job
Bangalore, India
On-site at the office
Who can apply
IN
About this job
- Who can apply
- India
- Posted
- 161 days ago
Listing Details
- First seen
- May 6, 2026
- Last seen
- July 21, 2026
Posting Health
- Days active
- 161
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- October 15, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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