{"id":4050544,"url":"https://alion.io/job/amazon-software-development-engineer-39","title":"Software Development Engineer","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":4570,"ghost_share":0,"stale_share":0.889,"repost_share":0.003,"time_to_fill_p50_days":30,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Backend","role_family":"Backend","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":["Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":143700,"max":194400,"currency":"USD","period":"year","gross":null,"usd_annual":194400},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Perl","optional":false},{"name":"Post-training","optional":false}],"status":"live","first_seen_at":"2026-11-10T00:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T01:25:45Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer to help advance the quality and capabilities of industry-leading large language models and Generative AI systems.\nIn this role, you will build scalable solutions for discovering, processing, curating, transforming, and delivering high-value data used across model evaluation, training, and post-training workflows. You will work with large-scale and heterogeneous datasets, including data produced by partner teams, long-context data, and other data sources that can help improve model development.\nYou will collaborate closely with scientists, ML engineers, evaluation teams, and other engineering teams to identify valuable data sources, understand downstream data requirements, and develop mechanisms that make data easier to discover, standardize, validate, transform, and consume at scale.\nYour work will help expand the breadth, quality, and usability of data available for Generative AI development and establish scalable data infrastructure, quality standards, and workflows that enable downstream teams to evaluate and improve models more effectively.\nThis is an opportunity to solve challenging problems at the intersection of data infrastructure, evaluation data, and Generative AI, and to directly influence the data foundation supporting Amazon’s next generation of AI models and experiences.\nKey job responsibilities\nQuickly learn and apply emerging technologies, methodologies, and best practices in Generative AI, data processing, and large-scale model development.\nDesign, build, and maintain scalable platforms and infrastructure for discovering, scanning, processing, curating, and delivering data used to support LLM evaluation, training, and model improvement.\nDevelop systems and mechanisms to identify useful evaluation data produced by partner teams, understand its characteristics and usability, and make relevant data easier to discover, standardize, validate, and consume.\nExpand the breadth and quality of data available for model development, including evaluation datasets, long-context data, training data, and other high-value data sources.\nBuild scalable capabilities to transform heterogeneous data from different sources and formats into standardized, high-quality datasets that can be reliably consumed by downstream evaluation and training workflows.\nPartner closely with Applied Scientists, ML Engineers, evaluation teams, and other engineering teams to understand data needs, identify gaps in available data, and translate those needs into scalable data solutions.\nInvestigate design approaches, prototype new technologies, evaluate technical feasibility, and drive data infrastructure solutions from concept to production.\nBuild reliable, high-quality data discovery and processing pipelines that operate at massive scale while improving data quality, coverage, observability, efficiency, and developer productivity.\nInfluence technical architecture and establish engineering best practices for data discovery, curation, transformation, and delivery across Generative AI model development workflows.\nA day in the life\nAs an SDE with the AGI team, you will build scalable systems that discover, process, curate, transform, and deliver high-value data for model evaluation, training, and post-training workflows.\nYou will work with large-scale, heterogeneous data sources and partner closely with scientists, ML engineers, and evaluation teams to understand downstream data needs and make useful data easier to identify, standardize, validate, and consume.\nYou will influence technical architecture, establish engineering best practices, and build reliable infrastructure that improves data quality, usability, and developer productivity across Generative AI model development.\nAbout the team\nJoin our AGI team and work at the forefront of Generative AI. We build scalable data and model development infrastructure that helps teams discover, process, curate, transform, and use high-value data to support the development of large language models and other foundation models.\nYou will collaborate with talented engineers and scientists working across model development, evaluation, data, and large-scale distributed systems. Together, we solve challenging technical problems at massive scale and build mechanisms that make valuable data easier to identify, standardize, validate, and consume across evaluation, training, and post-training workflows.\nThis is an opportunity to influence how next-generation AI systems are developed, expand the breadth and quality of data available to model development teams, and help shape the future of artificial intelligence at Amazon.\nMission of the team:\nWe build scalable data discovery, curation, transformation, and infusion capabilities that accelerate the development of high-quality foundation models. By identifying high-value data across 1P and other relevant sources-including data produced through evaluation workflows-we make that data easier to discover, standardize, validate, and use across evaluation, training, and post-training.\nOur mission is to expand the breadth, quality, and usability of data available for model development, enabling downstream teams to more effectively evaluate models, address data gaps, and improve model performance.\nBasic qualifications\n- 3+ years of non-internship professional software development experience\n- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n- 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience\n- 3+ years of Object Oriented Design experience\n- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field\nPreferred qualifications\n- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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