# Senior Software Development Engineer , Stores Foundational AI - Rufus at Amazon

Amazon is hiring a Senior Software Development Engineer , Stores Foundational AI - Rufus in Seattle, United States. It pays $193k-$262k a year and Level rates it Builds AI ●●●●; you can [apply on Amazon](https://jobsbylevel.com/go/c8118deb-a60b-48d5-a4b3-6d7f4ce32ba8?utm_medium=ai-agent).

AI Level 4, AI centrality 93 out of 100. US, WA, Seattle.

## Details

- Company: [Amazon](https://jobsbylevel.com/companies/amazon)
- AI level: AI Level 4 (score 93 out of 100)
- Location: US, WA, Seattle
- Salary: $193k-$262k
- Posted: June 29, 2026
- Apply: https://jobsbylevel.com/go/c8118deb-a60b-48d5-a4b3-6d7f4ce32ba8?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-software-development-engineer-stores-foundational-ai-rufus-at-amazon-03d99c

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-software-development-engineer-stores-foundational-ai-rufus-at-amazon-03d99c

## Description

We are building foundational LLMs for Amazon Stores that fuse world knowledge with deep e-commerce understanding to power next-generation shopping experiences. These systems continuously learn from real-world customer interactions to become more helpful, personalized, and context-aware over time. We are looking for builders who are passionate about large-scale systems, AI innovation, and customer impact. You will work at the intersection of distributed systems, machine learning infrastructure, and science to bring frontier research—especially in post-training and reinforcement learning—into production at Amazon scale. Key job responsibilities * Architect and build scalable ML infrastructure powering LLM training and post-training workflows, including supervised fine-tuning, reinforcement learning, and continuous learning from live traffic * Transform real-world customer interactions into high-quality training signals, enabling continuous model improvement and better customer experiences * Build and optimize post-training and RL systems, including reward modeling, policy optimization, data collection loops. * Drive experimentation and iteration velocity by building tooling and frameworks that enable rapid hypothesis testing, signal validation, and model quality improvements * Partner closely with applied scientists to translate frontier techniques (e.g., RLHF, agentic workflows, multi-turn optimization) into reliable, production-grade systems * Own systems end-to-end, including design, implementation, deployment, observability, and operational excellence * Raise the engineering bar through technical leadership, design reviews, and mentorship, influencing best practices across the organization 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 - Experience with vLLM, SGLang, TensorRT or similar platforms in production environments - Experience with CUDA kernels or ML/low-level kernels Preferred qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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

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