{"id":2661265,"url":"https://alion.io/job/microsoft-software-engineer-20","title":"Software Engineer","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":93,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":31000,"period":"year","method":"role_country_seniority_unknown","sample_n":35},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Transfer Learning","optional":false}],"status":"live","first_seen_at":"2026-09-21T18:08:43Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-16T18:13:55Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"OverviewMicrosoft’s vision is to democratize AI to enable every person and every organization on the planet to achieve more. With a growth mindset, we innovate to empower others, collaborate toward shared goals, and uphold respect, integrity, and accountability-fostering a culture of inclusion where everyone can thrive.\nThe Azure MultiModal Intelligence (MMI) team drives the development of advanced cognitive services across documents, video, image, and audio, powering scenarios such as retrieval-augmented generation (RAG), robotic automation processing (RAP), knowledge retrieval, agentic services and many more. Within this broad charter, we are seeking engineers to focus on advancingdocument intelligence-building best-in-class cloud and on-premises solutions that leverage deep learning and Large Language Models (LLMs) to help businesses automate document processing intelligently with AI.\nCome join a creative and dedicated team of engineers! You’ll gain first-hand experience building AI products that are compliant, secure, reliable, and high-performing-serving millions of requests worldwide.\nTo learn more about our team, check out this document.\nResponsibilities\nWe are looking for strong software engineers who can be expected to learn ML/LLM/Data Science concepts on the job. Key responsibilities include:\nBuild end-to-end AI solutions to bring models from proof-of-concept to production.\n\nLeverage Azure services (e.g., Azure ML, Azure DevOps, etc.) and develop customized modules to instrument the MLOps practice.\n\nSupport and manage machine learning models, production pipeline, and experimentation platform.\n\nWork closely with data engineers, service engineers, and data program manager in the cycle of productizing AI models.\n\nQualifications\nQualification:\nBachelor's Degree in Computer Science, Electrical Engineering or related technical field\n\nCoding ability in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.\n\nEngineering experiences covering various aspects of AI/ML system design and management.\n\nExperience in Natural Language Processing (NLP), Large Language Model (LLM), Semantic Parsing, Transfer Learning.\n\nPreferred Qualification:\nFamiliarity with cloud platforms (Azure, AWS, or GCP) and distributed systems.\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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