Software Engineer, AGI - Information Grounding and Proactive Services
Software Engineer, AGI - Information Grounding and Proactive Services
Posted on :
22-07-2025
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1 Vacancy
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Job Description
Do you want to be part of the AGI organization and help build innovative applications leveraging the state of the art generative AI Are you passionate about building scalable web services utilizing large language models Do you believe that complex tasks can be achieved in an intuitive way
Key job responsibilities
Build a scalable information grounding service that provides grounding evidence to multiple Amazonian experiences. Grounding large language models (LLMs) ensures that their interactions with users are informed relevant consistent and trustworthy. It ensures accuracy and relevance by providing context-specific responses and mitigating the risk of generating false information through techniques like Retrieval-Augmented Generation (RAG). Grounding allows LLMs to adapt to rapid information changes without constant retraining maintaining up-to-date and reliable outputs. This is accomplished by linking the models outputs to verifiable sources of information retrieved from public web sources (e.g. WebIR) and other structured data sources (e.g. knowledge graphs local databases). Grounding LLMs involves two main steps: 1/ providing relevant evidence from knowledge sources for the customer query and packing it into the LLM context window and 2/ optimizing LLM (e.g. SFT RLHF) to use this evidence appropriately minimizing irrelevance or hallucinations.
Design & Write code: Write code primarily in Java and design scalable fault tolerant and distributed applications running on AWS technology. Leverage state of the art AWS resources in the development of a scalable web grounding service for LLM based applications.
Test test test: Our software engineers dont just write code they also test the heck out of it. You will write unit tests integration tests and regression tests and find ways to automate them.
Troubleshoot and fix operational problems: You will work with systems engineers to troubleshoot operational problems and fix them. If you are so inclined you will also automate troubleshooting procedures and write tools. And when the issues concern specific customers you will also have the opportunity to talk to them and understand their space better.
Influence product direction: You will propose your ideas for the future of the space to product
management and get to shape the roadmap.
Hire and mentor others: You will get to interview people for the team and to mentor other engineers.
- 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
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
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 youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/year 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.
Key job responsibilities
Build a scalable information grounding service that provides grounding evidence to multiple Amazonian experiences. Grounding large language models (LLMs) ensures that their interactions with users are informed relevant consistent and trustworthy. It ensures accuracy and relevance by providing context-specific responses and mitigating the risk of generating false information through techniques like Retrieval-Augmented Generation (RAG). Grounding allows LLMs to adapt to rapid information changes without constant retraining maintaining up-to-date and reliable outputs. This is accomplished by linking the models outputs to verifiable sources of information retrieved from public web sources (e.g. WebIR) and other structured data sources (e.g. knowledge graphs local databases). Grounding LLMs involves two main steps: 1/ providing relevant evidence from knowledge sources for the customer query and packing it into the LLM context window and 2/ optimizing LLM (e.g. SFT RLHF) to use this evidence appropriately minimizing irrelevance or hallucinations.
Design & Write code: Write code primarily in Java and design scalable fault tolerant and distributed applications running on AWS technology. Leverage state of the art AWS resources in the development of a scalable web grounding service for LLM based applications.
Test test test: Our software engineers dont just write code they also test the heck out of it. You will write unit tests integration tests and regression tests and find ways to automate them.
Troubleshoot and fix operational problems: You will work with systems engineers to troubleshoot operational problems and fix them. If you are so inclined you will also automate troubleshooting procedures and write tools. And when the issues concern specific customers you will also have the opportunity to talk to them and understand their space better.
Influence product direction: You will propose your ideas for the future of the space to product
management and get to shape the roadmap.
Hire and mentor others: You will get to interview people for the team and to mentor other engineers.
- 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
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
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 youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/year 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.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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