Description

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.