{"id":2759237,"url":"https://alion.io/job/microsoft-software-engineering-intern-5","title":"Software Engineering INTERN","company":{"id":18,"name":"Microsoft","domain":"microsoft.com","url":"https://alion.io/company/microsoft","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":75,"open_postings":205,"ghost_share":0,"stale_share":0.985,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Backend","role_family":"Backend","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":["Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-08-06T10:18:13Z","employer_posted_date":"2026-08-07","last_verified_at":"2026-10-20T00:15:10Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"OverviewMicrosoft Specialized Clouds (MSC) AI Innovation is an AI-first team that incubates, builds, and accelerates solutions aligned with Microsoft’s business priorities for sovereign and regulated cloud environments. We specialize in “0 to 1” work, taking ideas from concept to MVP and evolving them into scalable, production-ready solutions.\nAs a Software Engineer Intern in the MSC IL AI Innovation team, you will contribute to the design, development, testing, and delivery of AI-powered features and services for Microsoft Specialized Clouds organization. You will work with mentors and engineering team members to build reliable, secure, and responsible software, while learning modern AI engineering practices across prompts, retrieval, agents, evaluation, observability, and cloud-native development.\nThis internship is designed for entrepreneurial, creative, and highly motivated students who are passionate about building AI-native products, taking ownership in ambiguous “0 to 1” environments, and using AI throughout the engineering lifecycle to solve complex, high-impact problems in sovereign and regulated cloud environments.\nResponsibilities\nDevelop, test, debug, and maintain software components for AI-powered products, services, or internal tools.\n\nContribute production-quality code that is maintainable, secure, performant, and aligned with team standards.\n\nPartner with mentors, engineers, product managers, and stakeholders to understand user requirements and translate them into engineering tasks.\n\nContribute to AI features such as agents, tool/API integrations, prompt flows, retrieval workflows, evaluation harnesses, and monitoring capabilities.\n\nHelp define and run tests, evaluations, and quality checks for AI behavior, including accuracy, relevance, groundedness, and reliability.\n\nInvestigate issues using logs, traces, test results, and debugging tools, and incorporate feedback into improved solutions.\n\nLearn and apply engineering best practices across code quality, security, responsible AI, CI/CD, documentation, and observability.\n\nDocument work clearly and share implementation details with team members to support continuity and knowledge sharing.\n\nCollaborate effectively with team members in a dynamic, ambiguous environment; adapt quickly across technologies, stacks, and engineering tasks; proactively seek and incorporate feedback; and contribute to shared goals while building technical depth.\n\nQualifications\nRequired qualifications\nCurrently pursuing an M.Sc. or M.A. degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least 3 semesters remaining\n\nProgramming experience in one or more general-purpose languages such as Python, C#, Java, JavaScript/TypeScript, C++, or similar.\n\nUnderstanding of core computer science fundamentals, including data structures, algorithms, software design, and debugging.\n\nAbility to communicate clearly, collaborate effectively, adapt across technologies and engineering tasks, and learn quickly in a team environment.\n\nPreferred qualifications\nCurrently pursuing a Doctorate in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical field, with at least one semester/term remaining after the internship.\n\n1+ year of programming experience.\n\n6+ months of experience delivering projects in teams, through coursework, internships, open-source work, research, or personal projects.\n\n1+ year of experience developing and applying data structures and algorithms.\n\nFamiliarity with AI, machine learning, generative AI, LLMs, agents, retrieval-augmented generation, prompt engineering, or evaluation methods.\n\nBasic familiarity with cloud platforms, REST APIs, SDKs, CI/CD, telemetry, or observability.\n\nInterest in responsible AI, security, reliability, and building software for regulated or sovereign cloud environments.\n\nDemonstrated entrepreneurial mindset, creativity, initiative, ownership, and persistence in identifying meaningful problems, exploring unconventional solutions, and turning ambiguous ideas into tangible outcomes in “0 to 1” product spaces.\n\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.\nMicrosoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. 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