Research Engineer II, Agents AI - Amazon : Job Details

Research Engineer II, Agents AI

Amazon

Job Location : all cities,IL, USA

Posted on : 2025-07-15T01:44:28Z

Job Description :

Join to apply for the Research Engineer II, Agents AI role at Amazon Web Services (AWS)

Amazon Q for business is AWS's generative AI assistant for enterprises. A research engineer at Plato needs to have a strong background in AWS production services, AI, cloud infrastructure, along with a proven track record of delivering results. A research engineer will participate in AI research, develop tooling's and experiment frameworks to improve science team's productivity, interface with engineering team to fill in any gaps, help to gauge science code quality and attend code reviews, manage science on-calls, as well as maintain infrastructures.

Key job responsibilities
  • Participate in research and development: contribute to developing Retrieval Augmented Generation technologies, fine-tuning embedding models and LLMs
  • Build and improve tooling for scientists, including experiment frameworks, testing pipelines, and data web applications
  • Bridge science and engineering pipelines to enable fast science-to-production workflows
  • Review science code for quality and standards
  • Manage science infrastructure on AWS, including security, templates, cost management
A day in the life

A Research Engineer supports Applied Scientists by building tools, frameworks, and infrastructure, and may lead joint projects between science and engineering teams.

About The Team

Amazon Web Services (AWS) is the world's most comprehensive cloud platform. We value diversity, work/life balance, and inclusion. We offer mentorship and career growth opportunities.

Basic Qualifications
  • 2+ years of experience in system design or architecture
  • 3+ years of professional software development
  • Experience programming in at least one language
  • Master's degree or equivalent
Preferred Qualifications
  • 3+ years in large-scale machine learning infrastructure
  • Knowledge of software engineering best practices
  • Experience with ML, data mining, analytics
  • Master's degree in computer science or equivalent

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