Software Dev Engineer (Contract), Artificial General Intelligence

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

Critically analyze and evaluate code responses generated by our LLMs across various programming languages and paradigms

Exercise expert judgment to select the most appropriate and efficient code solutions from multiple LLM-generated options

Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs

Develop and write coding demonstrations to illustrate "what good looks like" in AI-generated code, setting benchmarks for quality and efficiency

Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output

Collaborate with the AI research team to identify areas for improvement in the LLM's coding capabilities

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.

Basic 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

Preferred 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 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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.