Join to apply for the qa engineer (est hours) id35731 role at agileengine
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join to apply for the qa engineer (est hours) id35731 role at agileengine
agileengine is an inc. 5000 company that creates award-winning software for fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and ai/ml, and our people-first culture has earned us multiple best place to work awards.
why join us
if you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
what you will do
-design and execute both automated and manual end-to-end test strategies across all layers of the testing pyramid;
- validate ai model performance, including accuracy, confidence thresholds, and fallback behavior;
- automate quality processes from data ingestion to extraction and classification, with a focus on speed, repeatability, and resilience;
- test and validate integration points between ai components and core business logic;
- support and enhance ci/cd pipelines by maintaining test infrastructure and defining quality gates, automated scripts, and synthetic data;
- define and track quality metrics that matter to the business (e.g., turnaround time, confidence scores, correction rates);
- stay on the cutting edge—continuously learn and apply the latest ai and qa practices to make the impossible possible for our customers.
must haves
-bachelor’s degree in computer science, engineering, information systems, or equivalent experience;
- 3+ years of experience in qa, test engineering, or related roles with a strong grasp of qa methodologies;
- solid understanding of sdlc, agile methodologies, and software quality principles;
- hands-on experience with automation frameworks like pytest, selenium, cypress, postman, etc.;
- comfortable working with rest apis, data pipelines, and backend services;
- familiarity with cloud platforms (aws or azure) and ci/cd tools;
- detail-oriented mindset with a sharp eye for edge cases and a strong sense of ownership;
- quick, proactive learner—especially important in the fast-evolving world of ai;
- upper-intermediate english level.
nice to haves
- experience testing ai/ml systems in production environments;
- familiarity with genai model evaluation metrics;
- experience setting up monitoring/alerting for model drift, workflow failures, or performance issues.
perks and benefits
- professional growth: accelerate your professional journey with mentorship, techtalks, and personalized growth roadmaps.
- competitive compensation: we match your ever-growing skills, talent, and contributions with competitive usd-based compensation and budgets for education, fitness, and team activities.
- a selection of exciting projects: join projects with modern solutions development and top-tier clients that include fortune 500 enterprises and leading product brands.
- flextime: tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
seniority level
* seniority level
mid-senior level
employment type
* employment type
full-time
job function
* industries
it services and it consulting
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