{"id":2373447,"url":"https://alion.io/job/aura-cloud-evaluation-engineer-intern","title":"Evaluation Engineer Intern","company":{"id":2656349,"name":"Aura Cloud","domain":"auracloud.com","url":"https://alion.io/company/aura-cloud-ab","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8000,"max_usd":17000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":37},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GitHub","optional":false},{"name":"ISO 27001","optional":false},{"name":"JavaScript","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Git","optional":true},{"name":"Rest API","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-12T13:11:07Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-12T21:56:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Department: Platform Engineering\nQualification: B.Tech / B.E. / B.Sc. in Computer Science, Information Technology, or a related discipline\nExperience: Freshers (2026 & 2025 Graduates only)\nWork Location: Bangalore (Sattva Global City)\nWork Model: Work from Office\nAbout Aura Cloud\nAura Cloud delivers a next-generation cloud-native and cloud-agnostic core banking platform designed for innovation in financial services. With an API-first approach, the Aura platform offers a wide range of modules including Loans, Deposits, Cards, Payments, and more, supporting multi-currency and multi-entity setups for global scalability. The platform ensures operational efficiency, fast implementation, and seamless integration with over 2,000 APIs. Recognized for its robust and flexible architecture, Aura is ISO 27001 and ISO 9001 certified, making it a trusted choice for financial institutions seeking to grow and streamline their business.\nRole Overview\nWe are looking for a curious, analytical, and AI-oriented Evaluation Engineer Intern to help validate and evaluate platform features developed by our engineering teams. The role involves leveraging AI tools to design and build practical use cases, create evaluation scenarios, execute tests, and analyse results to assess the functionality, accuracy, reliability, and overall quality of platform features.\nThe ideal candidate should have a strong interest in AI-assisted development, software testing, problem-solving, and systematic evaluation of software products.\nKey Responsibilities\nAI Evaluation Framework: Create AI-based frameworks for evaluation of both human and AI generated code\nAI-Assisted Use Case Development: Leverage AI tools to design and build use cases, test scenarios, and evaluation workflows for validating platform features.\nFeature Validation: Understand platform requirements and expected behaviour to develop relevant test cases and validate newly developed features.\nEvaluation & Analysis: Execute evaluation scenarios, analyse outputs, compare actual results against expected outcomes, and identify gaps or inconsistencies.\nAI Tool Utilisation: Use AI-powered tools to generate test scenarios, create test data, automate repetitive evaluation tasks, and improve testing efficiency.\nDefect Identification: Identify, document, and report functional issues, unexpected behaviour, edge cases, and deviations from expected results.\nTest Automation: Develop basic scripts and automated workflows, where applicable, to support repeatable and scalable feature evaluation.\nDocumentation: Maintain clear documentation of use cases, evaluation criteria, test results, observations, and identified issues.\nCross-Functional Collaboration: Work closely with Engineering, Product and Business Analysis teams to understand feature requirements and support continuous product improvement.\nContinuous Improvement: Explore new AI tools, evaluation techniques, and testing methodologies to improve the effectiveness and coverage of platform validation.\n\nRequired Skills & Qualifications\nB.Tech / B.E. / B.Sc. graduates (2026 & 2025 batches) in Computer Science, Information Technology, or a related discipline.\nWorking knowledge of generative AI tools, Large Language Models (LLMs), and prompt engineering, backed by project(s) in GitHub\nBasic understanding of software development concepts, programming fundamentals, and software testing principles.\nExposure to at least one programming or scripting language, preferably Python, JavaScript, Java, or a similar language.\nStrong analytical and logical reasoning skills, with an ability to identify patterns, inconsistencies, and potential failure scenarios.\nGood written and verbal communication skills, with attention to detail and a structured approach to documentation.\nWillingness to learn new technologies, explore AI-assisted workflows, and work in a fast-paced product development environment.\n\nPreferred / Good-to-Have Skills\nFamiliarity in using AI tools and techniques to develop use cases, generate test scenarios, and evaluate software outputs.\nBasic knowledge of test automation frameworks, debugging, and version control tools such as Git.\nExposure to API testing, REST APIs, JSON, SQL, or database concepts.\nBasic understanding of functional testing, regression testing, edge-case testing, and test-driven approaches.\n\nKey Competencies\nAbility to translate requirements into practical evaluation scenarios and use cases.\nAnalytical thinking and structured problem-solving.\nAttention to detail and a quality-first mindset.\nAdaptability, ownership, and eagerness to learn.\nCollaboration and effective communication.\n\nLearning & Growth Opportunities\nHands-on experience in AI-assisted software development and platform evaluation.\nExposure to real-world product engineering, software quality, and automated testing practices.\nOpportunity to work with cross-functional teams and contribute to the validation of production-oriented platform features.\nPractical experience in building reusable evaluation use cases and improving software quality through 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