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AI Engineer Intern (2027)
Ingersoll Rand Careers
Davidson, NC
The AI Engineer internship offers aspiring artificial intelligence professionals the opportunity to contribute to the development and delivery of enterprise-grade Generative AI solutions.…
Added 1 min ago
Strategic Mission Systems Engineer
GD Information Technology, Inc.
United States
Must have a current/active Top Secret clearance with ability to obtain TS/SCI and a CI Poly
Added 1 min ago
Strategic Mission Systems Engineer
GD Information Technology, Inc.
United States
Must have a current/active Top Secret clearance with ability to obtain TS/SCI and a CI Poly
Added 1 min ago
Network Engineer - Cisco Unified Communications
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The Network Engineer must have:
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Senior Network Engineer
GD Information Technology, Inc.
United States
The Senior Network Engineer must have:
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Vulnerability Management Engineer
GD Information Technology, Inc.
United States
The Vulnerability Management Engineer must have:
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Endpoint Security Engineer
GD Information Technology, Inc.
United States
The Endpoint Security Engineer must have:
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Splunk Security Engineer
GD Information Technology, Inc.
United States
The Splunk Security Engineer must have:
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Network Engineer Principal (TS/Q clearance required)
GD Information Technology, Inc.
United States
GDIT is seeking an experienced Network Engineer Principal to join our team supporting mission-critical operations for the Department of Energy's National Nuclear Security Administration…
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Unified Endpoint Management (UEM) Engineer
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United States
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Added 1 min ago
ICAM Software Engineer - SailPoint/Radiant Logic
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Agile Software Development, Complex Systems, Software Development Life Cycle (SDLC)Certifications:
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Senior GNC Engineer, Modeling and Simulation
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Huntington Beach, CA
Mach Industries is seeking a Senior GNC Engineer - Modeling and Simulation to build, validate, and maintain the vehicle models and simulation environments behind GNC development for…
Added 1 min ago
Senior PLD Engineer
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We are seeking a Programmable Logic Device (PLD) Engineer II, to engage in all phases of product development. In this role you will be involved in requirements gathering and verification,…
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Civil Engineer (Professional Engineer)- Hybrid
GPAC
Pittsburgh, PA
- $90,000 to $120,000 USD / year
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White Plains, NY
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Senior Embedded Software Engineer
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Added 3 mins ago
Software Engineer, Security
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Added 4 mins ago
Mechanical Engineer, Sr
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Quanta Power Solutions is seeking an experienced Senior Mechanical Engineer to lead the design, analysis, and execution of mechanical systems for power generation, renewable energy, battery…
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Mechanical Engineer, Prin
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Quanta Power Solutions is seeking a highly experienced Principal Mechanical Engineer to serve as a senior technical authority and engineering leader for mechanical systems supporting power…
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Java Developer (Open FGA)
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Ability to work on‑site in Arlington, VA one day per week
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Senior Software Engineer
McLean, VA
…Freddie Mac! We are searching for a highly innovative Senior Software Engineer to join our team. Interested in learning more? Read…
Added 4 mins ago
SharePoint Engineer / Portal Administrator
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Candidates must have an active Secret clearance and verify, before applying, that you meet the minimum requirements of the position
Added 4 mins ago
Propulsion Engineer (Raptor Integration)
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…fleet of engines capable of continuous reuse. As a Propulsion Engineer on this team, you will serve an important role in developing the processes that will be used to maintain the fleet of…

Amazon.com Services LLC

Software Development Engineer

Bellevue, WA, United States

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Job details

Posting language: English
Posted: Nov 10, 2026

Original job description

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer to help advance the quality and capabilities of industry-leading large language models and Generative AI systems.

In this role, you will build scalable solutions for discovering, processing, curating, transforming, and delivering high-value data used across model evaluation, training, and post-training workflows. You will work with large-scale and heterogeneous datasets, including data produced by partner teams, long-context data, and other data sources that can help improve model development.

You will collaborate closely with scientists, ML engineers, evaluation teams, and other engineering teams to identify valuable data sources, understand downstream data requirements, and develop mechanisms that make data easier to discover, standardize, validate, transform, and consume at scale.

Your work will help expand the breadth, quality, and usability of data available for Generative AI development and establish scalable data infrastructure, quality standards, and workflows that enable downstream teams to evaluate and improve models more effectively.

This is an opportunity to solve challenging problems at the intersection of data infrastructure, evaluation data, and Generative AI, and to directly influence the data foundation supporting Amazon’s next generation of AI models and experiences.

Key job responsibilities Quickly learn and apply emerging technologies, methodologies, and best practices in Generative AI, data processing, and large-scale model development.

Design, build, and maintain scalable platforms and infrastructure for discovering, scanning, processing, curating, and delivering data used to support LLM evaluation, training, and model improvement.

Develop systems and mechanisms to identify useful evaluation data produced by partner teams, understand its characteristics and usability, and make relevant data easier to discover, standardize, validate, and consume.

Expand the breadth and quality of data available for model development, including evaluation datasets, long-context data, training data, and other high-value data sources.

Build scalable capabilities to transform heterogeneous data from different sources and formats into standardized, high-quality datasets that can be reliably consumed by downstream evaluation and training workflows.

Partner closely with Applied Scientists, ML Engineers, evaluation teams, and other engineering teams to understand data needs, identify gaps in available data, and translate those needs into scalable data solutions.

Investigate design approaches, prototype new technologies, evaluate technical feasibility, and drive data infrastructure solutions from concept to production.

Build reliable, high-quality data discovery and processing pipelines that operate at massive scale while improving data quality, coverage, observability, efficiency, and developer productivity.

Influence technical architecture and establish engineering best practices for data discovery, curation, transformation, and delivery across Generative AI model development workflows.

A day in the life As an SDE with the AGI team, you will build scalable systems that discover, process, curate, transform, and deliver high-value data for model evaluation, training, and post-training workflows.

You will work with large-scale, heterogeneous data sources and partner closely with scientists, ML engineers, and evaluation teams to understand downstream data needs and make useful data easier to identify, standardize, validate, and consume.

You will influence technical architecture, establish engineering best practices, and build reliable infrastructure that improves data quality, usability, and developer productivity across Generative AI model development.

About the team Join our AGI team and work at the forefront of Generative AI. We build scalable data and model development infrastructure that helps teams discover, process, curate, transform, and use high-value data to support the development of large language models and other foundation models.

You will collaborate with talented engineers and scientists working across model development, evaluation, data, and large-scale distributed systems. Together, we solve challenging technical problems at massive scale and build mechanisms that make valuable data easier to identify, standardize, validate, and consume across evaluation, training, and post-training workflows.

This is an opportunity to influence how next-generation AI systems are developed, expand the breadth and quality of data available to model development teams, and help shape the future of artificial intelligence at Amazon.

Mission of the team:

We build scalable data discovery, curation, transformation, and infusion capabilities that accelerate the development of high-quality foundation models. By identifying high-value data across 1P and other relevant sources - including data produced through evaluation workflows - we make that data easier to discover, standardize, validate, and use across evaluation, training, and post-training.

Our mission is to expand the breadth, quality, and usability of data available for model development, enabling downstream teams to more effectively evaluate models, address data gaps, and improve model performance. Basic qualifications

3+ years of non-internship professional software development experience
3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
3+ 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
3+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, BELLEVUE - 143,700.00 - 194,400.00 USD annually

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Jobs in the United States