AGI Data Services strives to be best in class at acquiring, creating and ground-truth data, with the highest standards of privacy and trust, to power the best AI models on Earth.
We are seeking a Senior Software Development Engineer (Sr. SDE) who is passionate about Generative AI and has strong engineering fundamentals to accelerate the creation of rich Software Engineering datasets used to train Amazon's Models. The Sr. SDE will design, build, and maintain systems to mine software engineering data, and to assess data quality using a combination of models and humans in the loop. The Sr. SDE will also design and build GenAI-powered workflow tools — such as conversational diagnostic agents, automated quality assessment systems, and guided remediation workflows — that streamline data collection and quality assurance processes, enabling cross-functional teams to rapidly identify issues, reduce resolution time, and continuously improve data throughput.
The Sr. SDE's work will directly improve Amazon Nova models. Our team has built a strong foundation of GenAI-powered engineering practices — this senior role will accelerate and scale that momentum. This role offers direct visibility to VP and SVP leadership.
Key job responsibilities The Sr. SDE will work on identifying high quality software engineering data that is valuable for model training (specifically Reinforcement Learning, but also other types of training) — designing, building, and scaling automated systems that mine and curate high quality datasets. The Sr. SDE will architect judge pipelines, develop evaluation rubrics and scoring frameworks, build calibration and agreement mechanisms to eventually ensure Amazon models improve on key software engineering capabilities..
The Sr. SDE will collaborate with Applied Scientists, Technical Program Managers, domain experts, and vendor teams — bridging technology, process, and operations.
A day in the life The Sr. SDE will define their strategy, use spec driven development using coding agents to develop the necessary tooling to identify and link high value SWE data for reinforcement learning, and delivering working training data to the modeling team. The Sr. SDE will dive deep into data quality anecdotes to find patterns and root causes, propose improvements. The Sr. SDE will communicate impact and roadmaps to cross-functional partners, appropriately leverage other SDEs for human in loop judgement to improve data, and will communicate regularly with Sr leadership on the approaches they define.
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science or equivalent
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
- Knowledge of general AI tools
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our 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.
The 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. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, Boston - 168,100.00 - 227,400.00 USD annually