Software Engineer, Agentic AI & MLOps Platform

Amazon Web Services (AWS); Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. in Seattle, WA, is seeking a Software Development Engineer to help build and scale next-generation MLOps and agentic AI systems using a Serverless, AWS-native stack.

You will own production agentic AI systems, retrieval and ranking loops, SageMaker pipelines, and data pipelines, while operating with high velocity and ownership in a fast-moving marketing analytics environment.

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.

Responsibilities

• Design, build, and operate production agentic AI systems - agent runtimes, MCP tool servers, retrieval pipelines, guardrails, and the evaluation harnesses that keep them honest
• Own the retrieval and ranking quality loop end to end: hybrid semantic and keyword retrieval, graded relevance signals, reranking on live in-session data, and offline plus LLM-as-judge evaluation before parameters become contract
• Productionize machine learning models with your applied science partners - training pipelines, feature engineering into SageMaker Feature Store, real-time inference behind low-latency APIs, and the deployment gates that make model rollout safe
• Build and scale serverless data pipelines over datasets in the billions of rows, including ingestion connectors, transformation orchestration, and validated migrations with parallel-run and rollback strategies
• Raise the operational bar on what you own: instrumentation, actionable alarms tuned against real SLOs, data-quality and freshness observability, runbooks, load and game-day testing, and participation in an on-call rotation
• Write the design documents, drive the code reviews, and make the tradeoff calls - you'll own systems, not tickets
• Work AI-natively. Our team uses agentic development tooling daily, and we expect you to extend it as well as use it

Skills

Software development

System design

OO design

C++/Java/C#

SQL & data warehousing

Education

Bachelor's degree in CS/Engineering/Math

Tools

AWS Lambda

Kubernetes

SageMaker

Redshift

Step Functions

CDK

Job description

Amazon Web Services, Inc. in Seattle, WA, is seeking a Software Development Engineer to help build and scale next-generation MLOps and agentic AI systems using a Serverless, AWS-native stack.

You will own production agentic AI systems, retrieval and ranking loops, SageMaker pipelines, and data pipelines, while operating with high velocity and ownership in a fast-moving marketing analytics environment.