Job description
About the Company CodeNinja is a global technology and AI firm with 10+ years in the industry, helping enterprises modernize systems and embed AI into their workflows.
We work across enterprise software, financial services, defense, health, logistics, and more, with 240+ clients across 15 countries.
We partner with organizations to deliver AI infrastructure, dedicated engineering teams, and forward-deployed engineers who work directly inside client environments to own outcomes.
About the role We are hiring an Senior AI QA Automation Engineer an experienced quality engineer who owns feature-level test strategy and automation for AI-enabled products .
In this role, you will design and maintain automated tests and AI evaluation suites , integrate quality signals into CI/CD pipelines , and partner with Scrum teams to prevent defects and deliver reliable AI capabilities.
Key Responsibilities Own test strategy and execution for assigned AI features across unit , API , UI , and end-to-end layers, aligned to Definition of Done and release criteria .
Create and maintain automated AI evaluation suites (including golden datasets , scoring , and regression baselines ) covering key user journeys and failure modes.
Validate prompt , retrieval , and orchestration changes using repeatable test harnesses and defined acceptance thresholds .
Build and extend automation frameworks , reusable utilities, and improve test stability , speed, and signal-to-noise .
Integrate automated tests and AI evaluations into CI/CD , triage pipeline failures, and reduce flaky tests .
Partner with engineers to improve testability (contracts, logging, observability) and drive shift-left quality practices.
Analyze defects and AI output issues, perform root cause analysis , and implement regression coverage to prevent recurrence.
Provide guidance to junior SDETs on automation , test design , and AI validation patterns; communicate quality risks to stakeholders.
Support production readiness by validating guardrails , monitoring signals, and performance requirements for AI features.
Provident Fund (PF) Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80.
Life Insurance Performance-Based Increment 32 Paid Leaves (Annual) Easy Loan Facility Company-Sponsored Trips Gym Passport Membership (Access To 250+ Gyms) Bachelor’s degree in Computer Science/Engineering (or equivalent practical experience).
4 + years of experience in SDET / QA automation / quality engineering with strong hands-on automation and test design skills.
Proficiency in at least one programming language (e.
g., Python , C# , Java ) and SQL , with the ability to debug services and tests.
Experience building and maintaining automated tests (API/UI and/or data/ETL ) and working in CI/CD pipelines .
Experience testing AI-enabled systems or demonstrated applied AI fluency (prompt/RAG changes, evaluation basics, common failure modes).
Experience working in Agile/Scrum teams and collaborating effectively with Engineering and Product.
Preferred: Experience with LLM evaluation techniques (golden sets, rubric-based grading, automated scoring, review workflows).
Preferred: Familiarity with AI safety and guardrail testing (grounding, PII handling, injection risks).
Preferred: Experience with cloud tooling , containers , observability , and release automation .
Why Join Us Build quality systems for real-world AI-enabled products , including LLM evaluations and reliability guardrails.
Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness .
Work with strong cross-functional teams across Engineering , Product , and AI stakeholders in an Agile environment.
Grow in modern quality engineering practices: observability , automation frameworks , shift-left testing , and AI evaluation patterns.
Disclaimer: CodeNinja is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, & performance.
Female and minorities are strongly encouraged and preferred to apply for the role
This job post has been translated by AI and may contain minor differences or errors.
