Sr Software Development Engineer , AXU

Amazon • Arlington, VA

6h

About The Position

As a Software Development Engineer for Amazon eXperiences & Upskilling (AXU),
you will be responsible for delivering the tools and processes required to
ensure ensure every experience built with Amazon technologies naturally makes
customers feel ‘this was designed for people like me.’ Our technology enables
Amazon’s product, engineering, user experience, and science teams to understand
how to build across Amazon broad range of customers, employees, and communities.
We give teams scalable tools to deeply understand and connect with their
customers, focusing on reaching and delighting a broader customer base.. You'll
be at the forefront of building next-generation AI-powered solutions. This role
is perfect for someone who combines deep technical expertise in large language
models with hands-on experience architecting intelligent agent systems.
In this highly strategic, individual contributor role, you will work closely
with cross-functional teams across Amazon to enable the delivery of
transformative inclusive experiences. You will be relentlessly focused on
providing Amazon's builders with the processes and tools that will make it
effortless for teams to build truly inclusive products.
There will be ample opportunities to pitch ideas, design global systems and
mentor junior engineers across the org. This is a rare opportunity to leave the
world better than you found it by creating the tools that shape the future of
inclusive experiences at Amazon. Apply now!

Key job responsibilities
As a Senior SDE on our team, you'll design and build sophisticated AI agent
systems that leverage LLM & SLM technologies. You'll architect scalable
solutions using Amazon Bedrock's agent core technologies, develop custom MCP
servers, and create intelligent automation that transforms how our customers
interact with AI. Your work will directly impact millions of users as you push
the boundaries of what's possible with generative AI. In this highly strategic,
individual contributor role, you will work closely with cross-functional teams
across Amazon to enable the delivery of transformative experiences. You will be
relentlessly focused on providing Amazon's builders with the processes and tools
that will make it effortless for teams to meet even more customers, with
everything they build.

Requirements

• 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 managing and deploying ML products
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience as a mentor, tech lead or leading an engineering team
• Experience working with Learning Management Systems (LMS) to track and measure training results and learning effectiveness
• Advanced prompt engineering expertise (few-shot, chain-of-thought, ReAct, self-consistency techniques)
• Hands-on experience with MCP Tools and integrating agent frameworks
• Strong knowledge of Amazon Bedrock's agents, guardrails, knowledge bases, and model evaluation capabilities

Nice To Haves

• 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 developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab
• Experience selling AI/ML solutions
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with interrupt service routines
• Experience in A/B testing
• Experience with retrieval-augmented generation (RAG) using Amazon Bedrock Knowledge Bases and OpenSearch
• Familiarity with multi-agent orchestration, workflow automation using AWS Step Functions and Bedrock Agents

Responsibilities

• design and build sophisticated AI agent systems that leverage LLM & SLM technologies
• architect scalable solutions using Amazon Bedrock's agent core technologies
• develop custom MCP servers
• create intelligent automation that transforms how our customers interact with AI

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level