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Stefanini LATAM
Stefanini LATAM
ConsultingLogisticsMarketing
Stefanini LATAM is a technology solutions provider focused on digital transformation and business modernization. With more than 30 years of experience, the company helps organizations improve operational models and customer experiences through automation, artificial intelligence, cybersecurity, and data analytics. Its work combines consulting with technology implementation, supporting clients as they identify opportunities to optimize processes, respond to changing market conditions, and pursue sustainable growth.
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Senior AI Technical Lead — Peru Remote

Lead GenAI solutions, cloud architecture, and legacy-code modernization for Stefanini LATAM, a global technology company. Own architecture, cost optimization, observability, and technical delivery.

PEPeruRemoteFull-timeMiddleSeniorSpanish RequiredAI EngineerMachine Learning Engineer
AWSAzureCloudJavaPythonSpringSpring BootVault

Description

  • Audit and refactor legacy Java and Python code to resolve inefficiencies and reduce technical debt
  • Redesign Azure OpenAI and LLM usage strategies through caching, prompt optimization, token management, and model selection to lower operating costs
  • Oversee Azure architecture across Container Apps, Storage, Table Storage, Key Vault, and Communication Services
  • Lead optimization and potential multi-cloud migration decisions involving AWS
  • Establish development standards, Bitbucket CI/CD practices, New Relic observability, and clean-code guidelines
  • Define the technical roadmap for completing unfinished development work
  • Coordinate team deliveries

Requirements

  • At least five years of software development experience
  • One to two years of experience leading artificial intelligence or GenAI projects in production
  • Advanced proficiency in Python and Java with Spring Boot
  • Strong experience consuming and integrating LLMs through OpenAI APIs, LangChain, and LlamaIndex
  • Experience with embeddings generation, NLP, and inference-cost optimization
  • Proven Azure experience with Azure Container Apps, Azure Storage, Azure Table Storage, Key Vault, and Azure OpenAI
  • Working knowledge of AWS services including Bedrock, S3, ECS, and Lambda for a potential migration
  • Experience with New Relic, Git or Bitbucket, CI/CD pipelines, and secrets management
  • Basic FinOps knowledge focused on optimizing cloud and AI budgets
  • Technical leadership skills and the ability to collaborate with enterprise architecture stakeholders

Benefits

  • The posting does not specify additional benefits, perks, or compensation.

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