just now
AmazonPosted 2mo ago
L3
Sr. Software engineer/AI engineer, IES LATech & GIS
Sr. Software engineer/AI engineer, IES LATech & GIS at Amazon scores 66 out of 100 on AI centrality, which makes it a Level 3 role on this board.
BR, SP, Sao Paulofull-time
AI in this role
openaianthropiclangchainllamaindexbedrockpgvector
prompt-engineeringai-agentsml-ops
Our team is responsible for automating the launch strategy for Amazon's expansion into new countries. We build customer-facing features in a highly distributed environment that directly impacts Amazon’s e-commerce revenue in over 150+ countries.
We’re looking for an experienced Software Engineer with AI background to join our team in building GenAI-powered tools to solve real problems that require creative and deep understanding of the problem space.
The ideal engineer for this space will be highly quantitative, has great judgment and passion for building a great customer experience, be inventive, and have a strong track record of delivery. You also have a pragmatic approach and iterative approach to building software: you have an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams.
Key job responsibilities
- Design and implement frameworks and solutions that enable seamless integration of GenAI technologies into existing products and development workflows enhancing productivity
- Collaborate with engineering and applied scientists teams to identify opportunities for GenAI-driven automation and efficiency improvements
- Establish best practices and guidelines for GenAI development and usage across the organization
- Develop reference architectures and technical guidelines for GenAI feature integration
- Drive adoption of GenAI solutions through technical demonstrations, workshops, and documentation
- Collaborate with teams across Amazon to share learnings and stay current with GenAI developments
- Evaluate and optimize the performance, security, and cost-effectiveness of GenAI-powered solutions
Basic qualifications
- Experience with AI/ML technologies
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language
- Experience conveying complex technical concepts to both technical and business audiences
- Experience with GenAI platforms and services (e.g., Anthropic, Bedrock, OpenAI) Experience with Prompt Engineering and AI Agents
- Experience with LLM/SLM frameworks (e.g., LangChain, LlamaIndex)
- Experience with building and maintaining scalable MLOps pipelines
Preferred qualifications
- Bachelor's degree or above in computer science, engineering, mathematics or equivalent, or Master's degree
- Years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with Data Engineering pipelines, including Vector Databases (e.g., OpenSearch, PGVector)
- Contributions to open-source AI projects
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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Prompt EngineeringAI AgentsMl OpsOpenAIAnthropicLangChainLlamaIndexBedrock
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- What's a project where you used OpenAI hands-on?
- Walk me through how you've used Anthropic in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, AI Agents, Ml Ops, OpenAI, and Anthropic. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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