
Data, GenAI Engineer
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contract
Posted on:
Location Type: Remote
Location: Brazil
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About the role
- Build GenAI apps using Amazon Bedrock
- Develop and optimize RAG pipelines with vector databases
- Create AI agents / orchestration
- Design serverless AWS architectures
- Build data pipelines, embeddings, ETL/ELT, monitoring, and optimize latency/cost
- Work directly with clients, document solutions, and troubleshoot production issues
Requirements
- 5+ years in software engineering
- 2+ years of hands-on AWS in production
- 2+ years focused on AI/ML, data engineering, or cloud-native development
- 1+ year direct GenAI experience
- Strong hands-on Amazon Bedrock experience
- LangChain/LlamaIndex or agent orchestration experience
- Advanced Python
- AWS Lambda / serverless in production
- Experience with vector databases
- LLM integration + prompt engineering
- API development (FastAPI/Flask)
Benefits
- Project-based work
- Opportunity for extension
- Working with AWS Premier Tier Partner
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GenAIAmazon BedrockRAG pipelinesvector databasesAI agentsserverless architecturedata pipelinesETLPythonAPI development
Soft Skills
client interactiondocumentationtroubleshooting