Research Engineer, AWS Agentic AI
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Monthly Salary:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
Come shape the future with us! As a major cloud provider our technology powers many of the worlds largest organizations. We are now building QuickSuite - a new and exciting Generative AI application that will transform how enterprises operate.
You will have the exciting opportunity to be on the ground floor of developing this novel product. We are seeking creative problem-solvers who are energized by tackling complex technical challenges to push the boundaries of whats possible with AI. Our team collaborates closely across roles to rapidly build test and iterate as we create an AI solution that delivers real business value. Join our innovative team to leave your mark on the next generation of AI.
Key job responsibilities
A Research Engineer in the AWS Agentic AI team has the following responsibilities:
* Define design and lead the development of tools that accelerate the science experimentation and delivery process
* Design and guide the science teams implementation enabling Science proof of concepts that help decide the ultimate science solution strategy algorithm workflow and the individual science components that become a release candidate
* Tool development: build and improve toolings that applied scientists would need including scalable science experiment frameworks low-latency testing pipelines data collection/annotation/evaluation web applications.
* Expedite science to production: bridge the gap between science and engineering teams help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one or making components within the two interchangeable. Work towards a fast science-to-production paradigm.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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
- Bachelors degree in computer science or equivalent
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
You will have the exciting opportunity to be on the ground floor of developing this novel product. We are seeking creative problem-solvers who are energized by tackling complex technical challenges to push the boundaries of whats possible with AI. Our team collaborates closely across roles to rapidly build test and iterate as we create an AI solution that delivers real business value. Join our innovative team to leave your mark on the next generation of AI.
Key job responsibilities
A Research Engineer in the AWS Agentic AI team has the following responsibilities:
* Define design and lead the development of tools that accelerate the science experimentation and delivery process
* Design and guide the science teams implementation enabling Science proof of concepts that help decide the ultimate science solution strategy algorithm workflow and the individual science components that become a release candidate
* Tool development: build and improve toolings that applied scientists would need including scalable science experiment frameworks low-latency testing pipelines data collection/annotation/evaluation web applications.
* Expedite science to production: bridge the gap between science and engineering teams help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one or making components within the two interchangeable. Work towards a fast science-to-production paradigm.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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
- Bachelors degree in computer science or equivalent
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Unclear Seniority
Key Skills
- Robotics
- Machine Learning
- Python
- AI
- C/C++
- OS Kernels
- Research Experience
- Matlab
- Rust
- Research & Development
- Natural Language Processing
- Tensorflow
About Company
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