Job Details
Posted date: Sep 02, 2025
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Location: Boston, MA
Description
**This is currently a temporary contract opportunity (12 to 24 months duration) based on business needs**Artificial General Intelligence (AGI) Data Services is at the forefront of AI innovation, specializing in the development and refinement of large language models (LLMs). Our mission is to create AI systems that can understand and generate high-quality code, revolutionizing the software development landscape.
Key job responsibilities
1. Critically analyze and evaluate code responses generated by our LLMs across various programming languages and paradigms
2. Exercise expert judgment to select the most appropriate and efficient code solutions from multiple LLM-generated options
3. Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
4. Develop and write coding demonstrations to illustrate "what good looks like" in AI-generated code, setting benchmarks for quality and efficiency
5. Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
6. Collaborate with the AI research team to identify areas for improvement in the LLM's coding capabilities
7. Stay abreast of the latest developments in software engineering, coding standards, and AI to ensure our evaluations are accurate
A day in the life
As a SDE in Amazon AGI, you will play a crucial role in assessing and improving our language models' coding capabilities. Your expertise will be instrumental in evaluating LLM-generated code responses, making high-level judgments, and setting the standard for what constitutes excellent AI-assisted coding.
Qualifications
- Bachelor's degree or equivalent- 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
Extended Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Master'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
- Previous experience working with or evaluating AI systems, particularly in the context of code generation
- Understanding of machine learning concepts, particularly as they apply to natural language processing and code generation
- Data analysis skills, writing script to analyze model performance against human ground truth
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $62.16/hr in our lowest geographic market up to $107.50/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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