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Senior LLM Engineer (RAG & AWS Bedrock)

2 weeks, 1 day ago
Mexico, Argentina, Brazil, Colombia
Full-time
Senior
AI Engineer
Software Development
Agile API Gateway AWS Generative AI OpenSearch Python
Apply Now
Oowlish

Oowlish

Top Nearshore Software Developers And Tech Squads | Oowlish Oowlish provides companies of all sizes access to the best technical talent in Brazil, making innovation more accessible and convenient than ever. Because our mission is to give every company,...

Internet Software & Services
51-250
Founded 2017
View All Jobs 20

Description

  • Design and implement Retrieval-Augmented Generation (RAG) architectures.
  • Build AI-powered chatbot experiences using AWS Bedrock.
  • Develop multi-source data ingestion and retrieval pipelines.
  • Design and optimize embeddings and semantic search strategies.
  • Build scalable vector search solutions for enterprise knowledge retrieval.
  • Integrate structured and unstructured data sources into AI workflows.
  • Develop prompt engineering strategies to improve response quality and accuracy.
  • Build cloud-native AI services using AWS.
  • Collaborate with engineering teams to improve AI performance, scalability, and reliability.
  • Continuously evaluate new AI technologies and best practices for enterprise LLM applications.

Requirements

  • 5+ years of professional software engineering experience.
  • Strong Python development experience.
  • Hands-on experience building Generative AI applications.
  • Experience working with AWS cloud services.
  • Strong understanding of Retrieval-Augmented Generation (RAG).
  • Experience building scalable backend applications.
  • Strong analytical and problem-solving skills.
  • Experience working in Agile environments.
  • Strong written and verbal English communication skills.
  • Hands-on experience with AWS Bedrock.
  • Experience building Retrieval-Augmented Generation (RAG) solutions.
  • Experience working with embeddings, vector search, and semantic search.
  • Experience building AI-powered chatbot applications.
  • Experience designing multi-source data ingestion pipelines.
  • Experience working with S3 Data Lakes.
  • Strong prompt engineering experience.
  • Experience integrating multiple enterprise data sources.
  • Strong understanding of Large Language Models (LLMs).
  • Experience designing scalable AI architectures.
  • Experience with LangChain, LlamaIndex, Pinecone, Weaviate, OpenSearch Vector, ChromaDB, or FAISS.
  • Experience building conversational AI applications.
  • Experience with enterprise knowledge management systems.
  • Experience with API Gateway.
  • Experience with EventBridge or SQS.
  • Experience with Infrastructure as Code.
  • Experience optimizing LLM performance and retrieval quality.
  • Experience with connected TV (CTV), AdTech, or advertising analytics platforms.

Benefits

  • Remote work / home office.
  • Competitive compensation based on experience.
  • Career plans with extensive growth opportunities.
  • International projects.
  • Oowlish English Program for technical and conversational English.
  • Oowlish Fitness with Total Pass.
  • Games and competitions.

Interested in this position?

Apply directly on the company website

Apply Now

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