Kimberly-Clark

Senior GenAI Engineer

Kimberly-Clark

full-time

Posted on:

Location Type: Hybrid

Location: Sao Paulo • 🇧🇷 Brazil

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Job Level

Senior

Tech Stack

AzureETLGraphQLJavaScriptMicroservicesNode.jsPythonSQLVault

About the role

  • Develop advanced LLM solutions using Azure OpenAI (GPT) with LangChain (prompt templates, chains, memory management).
  • Build RAG pipelines covering data ingestion, chunking, embedding creation, and indexing (Azure Cognitive Search/FAISS), enabling grounded generation.
  • Create microservices and APIs in Node.js/Python, including REST and GraphQL endpoints (Express).
  • Implement agent-based workflows and multi-agent orchestration, emphasizing robust error handling.
  • Construct ETL processes utilizing Azure Data Factory and manage data in Blob Storage and Cosmos DB.
  • Collaborate with cross-functional teams; author technical design documentation, deliver project demonstrations, and provide support for production issues.

Requirements

  • Upto 12 years of experience in software or ML engineering, including at least 2 years with GenAI/LLM applications.
  • Strong expertise in Node.js and Python, adopting an API-first development approach.
  • Hands-on experience with Azure OpenAI, LangChain, RAG methodologies, embeddings, and Azure Cognitive Search.
  • Proficiency with various Azure services: App Service, AKS, Blob Storage, Cosmos DB, Key Vault, Data Factory, Azure ML, Azure DevOps.
  • Advanced data management skills including ETL, data schema, and SQL; experience with Snowflake or Synapse is advantageous.
  • Familiarity with security and compliance requirements (PII, GDPR), prompt engineering, and evaluation techniques.
Benefits
  • flexible (hybrid) work arrangements
  • professional development opportunities

Applicant Tracking System Keywords

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

Hard skills
LLM solutionsAzure OpenAILangChainRAG pipelinesNode.jsPythonETL processesAPI developmentSQLembeddings
Soft skills
collaborationtechnical documentationproject demonstrationserror handlingcross-functional teamwork