mid Software Engineer ic 2+ yrs Bachelor's · Posted Nov 26, 2025
$143,700 – $194,400
USD per year

About this role

Amazon is hiring a mid-level Software Engineer based in Boston, MA. The posting calls out experience with SQL, AWS, LLMs, Git and roughly 2+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $143,700–$194,400 per year.

Role
Software Engineer
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Boston, MA
Experience
2+ years
Education
Bachelor's degree
Department
Software Development
Posted
Nov 26, 2025
AI Summary
Expert Consultant overseeing data pipelines for AI/LLM training, providing strategic guidance to cross-functional teams and mentoring junior members. Requires 2+ years system design experience, bachelor's in computer science, and prior AI systems evaluation background.

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Job description

from Amazon careers

Embark on a transformative journey as our Expert Consultant, where intellectual rigor meets technological innovation. As an Expert Consultant, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team. Key job responsibilities • Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support • Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization • Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops • Foster team excellence through mentorship and motivation of peers and junior team members • Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices,…

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