Senior QA & Evaluation Engineer
- Hiring from
- Latin America
- Work type
- Remote
- Posted
- Sep 25, 2026
Job Title: Senior QA & Evaluation Engineer Key Skills: Test Automation, .NET, API Testing, CI/CD, Automated Testing, LLM Evaluation, AI Testing, Test Frameworks Experience: 4+ years of experience. Location: Costa Rica, Peru, Colombia, Bolivia. Mode: Remote. We at Coforge are hiring Mid-Senior QA & Evaluation Engineer (N-5) with the following skill set. Key Responsibilities · Design and maintain automated test suites covering unit, integration, API, and end-to-end testing. · Integrate automated testing into CI/CD pipelines and establish automated suites as release quality gates. · Build evaluation frameworks for AI capabilities, including scored rubrics, LLM-as-a-judge approaches, and normalized pass thresholds. · Build and maintain held-out evaluation datasets, measure AI behavior against ground truth, and report defect escape and evaluation results as part of delivery metrics. Required Skills & Qualifications · 4+ years of experience in Quality Engineering with a strong focus on test automation. · Hands-on experience with automated testing frameworks, preferably within the .NET ecosystem. · Strong experience with API testing and automated test development. · Experience integrating automated test suites into CI/CD pipelines. · Understanding of testing strategies for non-deterministic and probabilistic AI systems. · Ability to design evaluation approaches based on scored thresholds rather than exact-match assertions. · Experience working with test data, ground truth datasets, and automated validation. · Strong analytical and problem-solving skills. · Strong working proficiency in English. · Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent professional experience. Preferred Skills: · Direct experience with LLM evaluation, including rubric design, LLM-as-a-judge, golden/held-out datasets, or tools such as Azure AI Foundry Evaluators, promptfoo, Ragas, or DeepEval. · Experience testing information extraction or classification pipelines using accuracy-based measurements. · Experience with regulated-industry QA environments where test evidence and results must support formal review. · Familiarity with AI/ML testing methodologies and evaluation frameworks. Posted On: 24-09-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.