{"id":2697176,"url":"https://alion.io/job/g42-engineer-ml-qa","title":"Engineer - ML QA","company":{"id":190,"name":"G42","domain":"g42.ai","url":"https://alion.io/company/g42","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0.25,"time_to_fill_p50_days":13,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Abu Dhabi, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":84000,"period":"year","method":"role_country_seniority_unknown","sample_n":26},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Cypress","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Playwright","optional":false},{"name":"Postman","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Selenium","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Azure AKS","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-16T07:37:43Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T03:51:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer - transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception42.ai\nOverview:\nWe are looking for a QA Engineer to validate AI-enabled financial applications and enterprise platforms across user experiences, APIs, data flows, and integrated business workflows. You will design and execute manual and automated tests, turn product requirements into measurable acceptance criteria, and provide clear evidence of product quality throughout the software delivery lifecycle.\nYou will work closely with Engineering, Product, Architecture, AI, Security, and Compliance teams in a delivery environment where application behavior can span conventional software and probabilistic AI components. The role requires disciplined testing, strong technical judgment, and ownership of defects from discovery through verification.\nResponsibilities:\nWhat You’ll Own\nDesign and execute risk-based test plans for functional, integration, regression, usability, accessibility, and performance testing.\nTranslate product requirements and business workflows into clear acceptance criteria, test scenarios, and traceable test evidence.\nValidate AI application behavior against approved scenarios, including response relevance, consistency with authorized source content, instruction adherence, and appropriate handling of unsupported requests.\nTest conversational experiences across multi-turn interactions, context retention, session isolation, ambiguous inputs, and recovery from errors.\nValidate document ingestion and retrieval workflows, including source relevance, reference accuracy, data freshness, and user access permissions.\nTest AI-driven orchestration and tool integrations for correct action execution, confirmation steps, authorization boundaries, retries, and prevention of duplicate or unintended actions.\nVerify safeguards against prompt injection, sensitive information disclosure, and unauthorized access across users and tenants.\nAssess behavior during AI service outages, timeouts, incomplete responses, and dependency failures, including fallback paths and user-facing messages.\nBuild and maintain reliable automation for UI, API, integration, and data validation testing using the team’s established frameworks.\nMaintain reusable business scenarios, representative test data, and regression suites that cover changes to prompts, configurations, integrations, and application releases.\nIntegrate automated smoke and regression tests into CI/CD pipelines to provide timely, actionable feedback.\nValidate financial calculations, reconciliations, reporting, access controls, and audit trails across AI-assisted and conventional workflows.\nEvaluate end-to-end responsiveness, concurrent usage, and application stability under expected and peak workloads.\nOwn defect documentation, triage, retesting, and root-cause collaboration, and convert production findings into stronger test coverage.\nMaintain requirements traceability, test results, defects, and quality reporting in Azure DevOps, and communicate release risks with clear supporting evidence.\nQualifications:\nStrong software quality fundamentals, including test design, exploratory testing, defect analysis, and risk-based coverage.\nExperience testing production web or cloud applications across UI, API, integration, and end-to-end workflows.\nHands-on experience building or maintaining automated tests with tools such as Playwright, Selenium, Cypress, REST Assured, Postman, or comparable frameworks.\nWorking proficiency in at least one programming language used for test automation, such as Python, TypeScript, or Java.\nAbility to validate REST APIs, authentication and authorization controls, service integrations, and failure behavior.\nStrong SQL skills and experience verifying data flows, transformations, calculations, and reporting outputs.\nFamiliarity with Git, CI/CD pipelines, Agile delivery, and cloud-based application environments.\nUnderstanding of AI application concepts such as prompts, conversational context, retrieval-augmented generation, and tool execution, or the ability to learn them quickly.\nAbility to design repeatable checks for variable system responses using clear business rules and expected outcomes.\nStrong debugging and communication skills, with the judgment to distinguish blocking defects from acceptable residual risk.\nAn ownership mindset and the ability to execute across ambiguity while collaborating closely with engineers, product managers, and domain specialists.\nNice to Have\nExperience testing conversational AI, enterprise search, document processing, RAG applications, or AI-driven workflows.\nExposure to Azure App Service, Azure Functions, Azure Kubernetes Service, or Azure Data Factory.\nExperience with performance, security, accessibility, or multi-tenant access-control testing.\nKnowledge of financial systems, reconciliation, compliance controls, reporting, or audit requirements.\nFamiliarity with observability tools and production quality analysis.\nWhat We Look For\nIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception42 community.\nWhat Working At Inception42 Offers\nCulture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.\nCareer: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.\nRewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.\nIf you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.","description_format":"text","description_chars":6359,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","LLM & Generative AI","Data Centers & Colocation","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-10-16T10:28:41Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":13,"reasons":["conf:0","win:early"],"computed_at":"2026-10-17T03:58:48Z"},"pay":null,"html_url":"https://alion.io/job/g42-engineer-ml-qa","json_url":"https://alion.io/job/g42-engineer-ml-qa.json","meta":{"generated_at":"2026-10-17T03:58:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5195,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":190},"rest":"https://alion.io/mcp/rest/get_company?id=190"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fg42-engineer-ml-qa"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fg42-engineer-ml-qa"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fg42-engineer-ml-qa"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/g42-engineer-ml-qa\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fg42-engineer-ml-qa"}]}