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Software Development Engineer, Alexa Sensitive Content Intelligence (ASCI)

Amazon is hiring a Software Development Engineer, Alexa Sensitive Content Intelligence (ASCI) in Bellevue, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions LLMs, Agentic AI and C Plus Plus among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.
  • Posted within the past week.

AI in this role

Design and develop large-scale agentic AI and LLM systems for Alexa content moderation and safety.

LLMsAgentic AIC Plus PlusJava
software-developmentmachine-learningnatural-language-understandingdistributed-systems
The Alexa Sensitive Content Intelligence (ASCI) team leverages natural language understanding (NLU), machine learning (ML), and big data to help Alexa identify and handle sensitive content — ensuring customers continue to have fun, engaging conversations with Alexa. We work at the intersection of trust, safety, and intelligence, applying state of the art Artificial Intelligence (AI) technologies including large language models (LLMs), multimodal AI, and agentic AI systems to solve some of the most complex content moderation challenges in the industry. We are a highly collaborative, fast-moving team that values technical excellence, innovation, and impact.

We seek a Software Development Engineer (SDE) II who is highly motivated, owns outcomes end-to-end, and thrives in a fast-paced, collaborative environment that adopts AI and leverages various AI tools for quick problem solving. Our ideal candidate brings a strong sense of ownership, clear written and verbal communication skills, and the ability to adapt quickly to new technologies — including agentic AI systems, LLMs, and LLM-based tools. You will lead the development and launch of new features that adopt agentic AI at scale, drive system architecture, influence team strategy, mentor engineers, and establish best practices that deliver a high-quality product. You bring a solid understanding of software design principles, a demonstrated track record of delivering new features and products to production, and a genuine passion for innovating on behalf of customers. You ramp quickly, raise the bar for the engineers around you, and bring direct, hands-on experience with agentic AI and LLM frameworks to solve production-grade challenges. You will own features end-to-end — from requirements to production — working directly with applied scientists, product managers, and senior engineers to protect and delight Alexa customers globally.



Basic qualifications

-3+ years of non-internship professional software development experience
-2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
-1+ years of software development engineer or related occupational experience
-1+ 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
-1+ years of Object Oriented Design experience
-Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
-Experience programming with at least one software programming language

Preferred qualifications

-3+ 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

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, WA, Bellevue - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer, Alexa Sensitive Content Intelligence (ASCI) at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software DevelopmentMachine learningNatural Language UnderstandingDistributed SystemsLLMsAgentic AIC Plus PlusJava

Also common in software engineer jobs at this level

Pay

This job starts at
$144k
Typical software engineer job
$167k

This posting starts 14% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where software development was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where natural language understanding was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Walk me through how you've used LLMs in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Development, Machine learning, Natural Language Understanding, Distributed Systems, and LLMs. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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