QA Lead
Techbulls SoftTech
Full-time
On-site
QA Lead
Key Responsibilities:<\/b>
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Test Strategy & Planning<\/b>: Develop comprehensive test strategies that align with business objectives and
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regulatory requirements. De ne the scope, resources, test levels, and techniques required for successful releases.
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Testing AI -In uenced Products<\/b>: Validate the behavior of AI agents and models. This includes verifying
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decision -making logic, checking for hallucinations, and ensuring model outputs align with user intent in a non -
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deterministic environment.
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Database & Backend Verification<\/b>: Execute complex queries (MySQL, Postgres, MongoDB) to verify data
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integrity and consistency. Perform deep -dive API testing and analyze application logs to validate transactional
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systems and debug issues.
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Risk Analysis & Reporting<\/b>: Perform risk analysis and report on critical QA metrics (e.g., defect leakage, release
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readiness). Present findings to management to support informed, data -driven decision -making.
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Process Improvement: Establish and re ne QA standards, including bug reporting formats, test case
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templates, and agile testing processes. Make product bug free or minimal and improve product quality.
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Process Improvement<\/b>: Establish and re ne QA standards, including bug reporting formats, test case
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templates, and agile testing processes. Make product bug free or minimal and improve product quality.
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Stakeholder Collaboration<\/b>: Act as a bridge between the QA team, developers, and product managers to
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ensure alignment on requirements and clear communication of quality risks.
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Collaborate Cross -Functionally:<\/b> Work closely with product managers and domain experts to translate
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business requirements into AI solutions. Communicate effectively with team members to iterate on features and
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ensure the AI solutions are enterprise -ready, secure, and aligned with user needs.
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Requirements<\/h3>
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Requirements<\/h3>Required Skills & Experience:<\/b>
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<\/div>Education & Experience<\/b>: 4+ years of experience in software testing. Bachelorβs degree in Computer Science,
<\/div>Engineering, or a related field.
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<\/div>AI Platform Knowledge:<\/b> Strong understanding of testing AI/ML products. Experience validating LLM
<\/div>responses, testing RAG (Retrieval -Augmented Generation) pipelines, and identifying edge cases in AI behaviour
<\/div>(e.g., prompt injection, hallucinations).
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<\/div>Database Expertise<\/b>: Proficiency in writing complex SQL queries and handling NoSQL databases (MongoDB) to
<\/div>validate backend logic and data states.
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<\/div>Advanced Functional Testing:<\/b> Deep expertise in manual testing techniques beyond UI clicking. Must be
<\/div>skilled in API Testing (using Postman/cURL), analysing JSON/XML payloads, and inspecting server logs.
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<\/div>Performance & Security Awareness<\/b>: Ability to identify performance bottlenecks (latency, load issues) and
<\/div>basic security vulnerabilities (IDOR, data exposure) during manual testing cycles.
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<\/div>SDLC & Independence<\/b>: Strong understanding of the Software Development Life Cycle (SDLC) and Bug Life
<\/div>Cycle. proven ability to handle tasks independently and own the quality of a feature from conception to release.
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<\/div>Work Independently<\/b>: Proven ability to handle tasks independently and own the quality of a feature from
<\/div>conception to release. Strong verbal and written communication skills to articulate complex defects and strategies
<\/div>to non -technical stakeholders.
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<\/div>Problem Solving<\/b>: Demonstrated ability to tackle ambiguous or open -ended problems in a structured way.
<\/div>Comfortable formulating experiments, evaluating results (using appropriate metrics), and iterating to improve
<\/div>model performance.
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Education & Experience<\/b>: 4+ years of experience in software testing. Bachelorβs degree in Computer Science,
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Engineering, or a related field.
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AI Platform Knowledge:<\/b> Strong understanding of testing AI/ML products. Experience validating LLM
<\/div>
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responses, testing RAG (Retrieval -Augmented Generation) pipelines, and identifying edge cases in AI behaviour
<\/div>
<\/div>
(e.g., prompt injection, hallucinations).
<\/div>
<\/div>
<\/div>
<\/div>
Database Expertise<\/b>: Proficiency in writing complex SQL queries and handling NoSQL databases (MongoDB) to
<\/div>
<\/div>
validate backend logic and data states.
<\/div>
<\/div>
<\/div>
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Advanced Functional Testing:<\/b> Deep expertise in manual testing techniques beyond UI clicking. Must be
<\/div>
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skilled in API Testing (using Postman/cURL), analysing JSON/XML payloads, and inspecting server logs.
<\/div>
<\/div>
<\/div>
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Performance & Security Awareness<\/b>: Ability to identify performance bottlenecks (latency, load issues) and
<\/div>
<\/div>
basic security vulnerabilities (IDOR, data exposure) during manual testing cycles.
<\/div>
<\/div>
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SDLC & Independence<\/b>: Strong understanding of the Software Development Life Cycle (SDLC) and Bug Life
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Cycle. proven ability to handle tasks independently and own the quality of a feature from conception to release.
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Work Independently<\/b>: Proven ability to handle tasks independently and own the quality of a feature from
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conception to release. Strong verbal and written communication skills to articulate complex defects and strategies
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to non -technical stakeholders.
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Problem Solving<\/b>: Demonstrated ability to tackle ambiguous or open -ended problems in a structured way.
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Comfortable formulating experiments, evaluating results (using appropriate metrics), and iterating to improve
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model performance.
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