{"id":1433876,"url":"https://alion.io/job/thermo-fisher-scientific-ai-software-engineer","title":"AI Software Engineer","company":{"id":7922,"name":"Thermo Fisher Scientific","domain":"thermofisher.com","url":"https://alion.io/company/thermo-fisher-scientific","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":306,"ghost_share":0.003,"stale_share":0.889,"repost_share":0.007,"time_to_fill_p50_days":27,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seoul, South Korea"],"countries":["KR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LIMS","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Azure","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLMOps","optional":true},{"name":"OpenAI","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-24T09:29:18Z","board_verified":false,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Work Schedule\nStandard (Mon-Fri)Environmental Conditions\nOfficeJob Description\nAI Software Engineer\nJob Description\nAs part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer.\nAs AI Software Engineer, you will develop AI-enabled scientific software that combines artificial intelligence, laboratory data, data engineering, and AI platform capabilities to accelerate laboratory automation and intelligent decision-making. You will also contribute to defining and evolving the organization’s AI architecture, AI operations framework, and technology standards, translating emerging AI technologies into practical and scalable engineering approaches.\n[Key Competencies]\nSolution-oriented with strong analytical and problem-solving skills.\n\nExcellent communication and collaboration across internal, global, and customer-facing cross-functional teams.\n\nSelf-driven with the ability to rapidly evaluate new AI technologies and deliver production-ready software.\n\n[Key Responsibilities]\nDesign, develop, test, and maintain AI-enabled scientific applications using modern AI and machine learning technologies.\n\nDevelop AI agents and intelligent workflows that integrate third-party AI solutions with digital laboratory applications.\n\nDesign and implement AI-driven analysis, reporting, and decision-support capabilities for laboratory workflows.\n\nBuild reusable AI services and APIs that enable scalable scientific AI capabilities across internal platforms and customer solutions.\n\nDesign and implement data pipelines and data integration services that enable AI-ready laboratory data.\n\nIntegrate and standardize data from ELN, LIMS, and other scientific software platforms for AI applications.\n\nSupport AI runtime environments, cloud-based AI services, and MLOps practices for reliable deployment of AI solutions.\n\nTranslate scientific and business requirements into scalable AI architectures and software solutions for both internal platforms and customer applications.\n\nCollaborate with internal and global Product, AI, and Engineering teams to contribute to AI architecture, technology standards, integration patterns, and reusable capabilities across digital platforms.\n\nSupport customer demonstrations, Proof-of-Concept (PoC) activities, deployment, and continuous improvement of reusable AI and data engineering capabilities.\n\nDevelop and continuously improve AI operations practices, including model and prompt lifecycle management, observability, security, deployment, and operational monitoring.\n\nEvaluate emerging AI technologies, frameworks, and third-party solutions through technical assessment and rapid prototyping, and recommend practical adoption approaches for the organization.\n\n[Qualifications]\nEducation\nBachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.\n\nExperience\n3+ years of software development experience.\n\nRecent Master's or Ph.D. graduates with strong software engineering and AI development foundations may also be considered.\n\nExperience developing AI-enabled software applications, backend services, or AI platform components is plus.\n\n[Knowledge, Skills, Abilities]\nStrong programming skills in Python and modern AI development frameworks.\n\nUnderstanding of AI/LLM architecture, cloud-based AI services, APIs, agentic AI frameworks, and modern AI development practices.\n\nKnowledge of machine learning, LLMs, prompt engineering, and AI application development.\n\nExperience or understanding of data pipelines, data integration, and data preparation for AI applications.\n\nAbility to evaluate AI technologies and contribute to the design of scalable AI solutions, integration patterns, and reusable technical components.\n\nStrong analytical, problem-solving, debugging, and software development skills.\n\nExcellent communication and collaboration skills with customers and cross-functional teams.\n\nBusiness-level English and Korean communication skills.\n\n[Preferred Qualifications]\nExperience with biotechnology, life sciences, laboratory automation, research, or scientific software environments is highly desirable.\n\nExperience with Azure OpenAI, Semantic Kernel, LangGraph, or similar AI frameworks.\n\nExperience with ELN, LIMS, Momentum, or scientific laboratory software.\n\nKnowledge of laboratory automation workflows and scientific data management.\n\nFamiliarity with MLOps/LLMOps, AI observability, deployment, and operational monitoring is a plus.","description_format":"text","description_chars":4654,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Korean","level":"Upper-Intermediate (B2)","optional":false},{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Diagnostic Tests & IVD","Clinical Trial Services (CRO)","Laboratory Equipment","APIs & Drug Manufacturing"],"lifecycle":[{"event":"open","at":"2026-09-29T02:17:23Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long 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