Allata

AWS Cloud – Native AI Engineer

Allata

full-time

Posted on:

Location Type: Hybrid

Location: Buenos Aires • 🇦🇷 Argentina

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDynamoDBTypeScript

About the role

  • Architect and implement serverless AI workflows leveraging AWS Lambda, Step Functions, and Bedrock APIs.
  • Design prompt and context engineering pipelines to generate recommendations dynamically from partial or tentative form responses.
  • Implement data ingestion, validation, and contextual augmentation using AWS services (S3, DynamoDB, API Gateway, Lambda, Step Functions, EventBridge, etc.).
  • Develop and deploy infrastructure as code using AWS CDK (TypeScript).
  • Integrate LLM-based inference into end-user apps and internal tools.
  • Optimize inference cost and latency through intelligent caching, grounding, and response evaluation mechanisms.
  • Collaborate with UX and product teams to embed generative capabilities seamlessly into existing workflows.

Requirements

  • 5+ years in cloud-native development on AWS.
  • Expertise in serverless architecture, TypeScript, AWS CDK, and Bedrock (Claude, Titan, or third-party models).
  • Proven experience in prompt engineering, context orchestration, or agentic system design.
  • Experience with vector databases, contextual retrieval (RAG), and event-driven architectures.
  • Strong understanding of AI safety, model evaluation, and governance patterns.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
serverless architectureAWS LambdaStep FunctionsBedrock APIsdata ingestionvalidationcontextual augmentationAWS CDKTypeScriptprompt engineering
Soft skills
collaboration
Allata

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