{"id":470248,"url":"https://alion.io/job/avenga-senior-ai-driven-automation-qa-engineer","title":"Senior AI Driven Automation QA Engineer","company":{"id":181252,"name":"Avenga","domain":"avenga.com","url":"https://alion.io/company/avenga","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":77,"open_postings":26,"ghost_share":0,"stale_share":0.923,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-10-30T05:48:23Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Banja Luka, Bosnia and Herzegovina","Belgrade, Serbia","Bitola, North Macedonia","Kragujevac, Serbia","Niš, Serbia","Novi Sad, Serbia","Ohrid, North Macedonia","Skopje, North Macedonia","Chișinău, Moldova","Vietnam"],"countries":["BA","RS","MK","MD","VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":90000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1282},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Appium","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Cypress","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Playwright","optional":false},{"name":"Postman","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Robot Framework","optional":false},{"name":"Selenium","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-08-24T07:42:08Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-30T19:21:00Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.\nAt the core of the role\nWe are looking for someone who goes beyond “automating test cases.” You should be someone who asks: “How can we make the entire QA process faster, smarter, more reliable, and more scalable?”\nThe successful candidate will combine strong automation and programming skills with a continuous-improvement mindset and an interest in using AI and emerging technologies to transform software quality practices.\n\nCore skills you’ll bring\nStrong programming experience in at least one OOP language, such as Java, C#, Python, JavaScript/TypeScript, or similar.\n\nSolid understanding of OOP concepts, data structures, design patterns, clean code, and software engineering principles.\n\nHands-on experience with one or more automation frameworks/tools, such as: Selenium, Playwright, Cypress, Appium, REST Assured, Robot Framework or equivalent technologies.\n\nExperience with API testing and tools such as Postman, REST clients, or automation frameworks.\n\nExperience with Git and version-control practices.\n\nExperience integrating automated tests with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar.\n\nExperience working with databases and writing basic SQL queries.\n\nAI & Innovation Experience\nWe are particularly interested in candidates who have experience with AI adoption or implementation in QA.\nThis may include:\nAI-assisted test automation development and code generation.\n\nUsing AI to improve test maintenance and reduce flaky tests.\n\nDeveloping AI-powered QA tools, agents, scripts, or workflows.\n\nEvaluating AI tools and measuring their impact on QA processes.\n\nIdentifying new opportunities for AI-driven quality engineering.\n\nUsing AI / LLMs to analyze requirements, identify test scenarios, generate synthetic test data, enhance test cases and test scripts.\n\nCandidates do not need to be AI/ML specialists. We value practical experience, curiosity, experimentation, and the ability to identify where AI can create measurable improvements in QA.\nNice-to-have:\nExperience building internal QA tools or automation platforms.\n\nExperience with cloud platforms such as AWS, Azure, or GCP.\n\nExperience with Docker and containerized test environments.\n\nKnowledge of Kubernetes or distributed systems.\n\nFamiliarity with LLM APIs, prompt engineering, RAG, AI agents, or AI-powered developer tools.\n\nThe impact you'll create\nWork in agile environment, designing and implementing automated testing solutions across Avenga's projects and clients.\n\nExplore, evaluate, and implement AI-driven solutions to enhance QA efficiency and test automation.\n\nActs as a technical contributor in AQE practices, driving automation improvements and sharing knowledge with colleagues.\nPeople are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. 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