DESCRIPTION
Join our team and work Generative AI technology while helping AWS meet its global expansion goals! We are building an innovative AI product that helps AWS teams streamline and automate the process of deploying new services and new AWS regions worldwide. As a Software Development Engineer, you will play a key role in developing this cutting-edge Generative AI solution that leverages large language models and advanced natural language processing techniques.
Key job responsibilities
Architect and implement core components of the Generative AI system powering the Automated Assistant
Integrate large language models for retrieval-augmented code generation models into the product
Build robust APIs, data pipelines, and infrastructure to support AI model deployment at scale
Optimize model performance, latency, and cost by building tests and continuously improving the framework
Develop interfaces to manage prompts, provide feedback, and improve the Automated Assistant
Implement AI guardrails around security, privacy, and data governance
Collaborate across software engineering, data science, data engineering, and product teams through the full SDLC
A day in the life
Our Automated Assistant is an AI-powered conversational assistant that enables AWS teams like Technical Program Managers (TPMs) and Service Builders to efficiently manage region deployment workflows. Using natural language interactions, it provides real-time data access, visualizations, task automation, and insights - allowing teams to make faster, data-driven decisions during region builds.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA
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
- Experience programming with at least one software programming language
- Familiarity with natural language processing, information retrieval, or generative modeling
- Bachelor's degree in Computer Science, Engineering, or a related technical field
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
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Prior experience building and deploying large language models applications or generative AI systems
- Knowledge of responsible AI practices like bias mitigation, privacy preservation
- Proficiency with AWS AI/ML services like SageMaker, Bedrock, etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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