Sr. Software engineer/AI engineer, IES LATech & GIS

Amazon is hiring a Sr. Software engineer/AI engineer, IES LATech & GIS in São Paulo, Brazil. Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
The posting mentions OpenAI, Anthropic and LangChain among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design and implement frameworks and solutions for integrating GenAI technologies into existing products and workflows to drive automation.

OpenAIAnthropicLangChainLlamaIndexBedrockpgvectorPython

prompt-engineeringai-agentsml-opsgenaisystem-architecturemachine-learning

Amazon.com's long-term vision is to enable a seamless global shopping experience for all Amazon customers worldwide on any Amazon website or device, in any language and for any culture. Our goal is to create software that offers customers a unique shopping experience that is internationalized for their preferences.
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.

How we rate this

Sr. Software engineer/AI engineer, IES LATech & GIS at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr. Software engineer/AI engineer, IES LATech & GIS is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in BR, SP, Sao Paulo.
The job was posted on July 10, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringAI agentsML OpsGenAISystem ArchitectureMachine learningOpenAIAnthropic

Also common in AI engineer jobs at this level

Python AWS Machine learning Azure RAG Google Cloud

Pay

Typical AI engineer job: $184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

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?
Tell me about a project where genai was part of your work. What did you do?
Tell me about a project where system architecture was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt engineering, AI agents, ML Ops, GenAI, and System Architecture. 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.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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