Senior LLM Engineer

New

BrazilFull-TimeSenior

Salary not disclosed

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Job Details

5+ years of professional software engineering experience.
Strong Python development skills and experience building production-level applications.
Hands-on experience developing Generative AI solutions and LLM-based applications.
Strong knowledge of Retrieval-Augmented Generation (RAG) concepts and implementation.
Experience working with AWS cloud services, including AWS Bedrock.
Experience designing scalable backend systems and cloud-native architectures.
Practical experience with embeddings, vector search, and semantic search technologies.
Experience building AI-powered chatbot applications and conversational AI solutions.
Experience designing multi-source data ingestion pipelines.
Experience working with S3 Data Lakes and enterprise data environments.
Strong prompt engineering skills and understanding of Large Language Models.
Strong written and verbal English communication skills.

Design and implement advanced Retrieval-Augmented Generation (RAG) architectures for enterprise AI applications.
Build AI-powered chatbot experiences using AWS Bedrock and Large Language Model technologies.
Develop scalable data ingestion and retrieval pipelines that connect multiple structured and unstructured data sources.
Design, optimize, and maintain embedding strategies and semantic search solutions.
Build and improve vector search systems for enterprise knowledge retrieval.
Integrate different data sources into AI workflows and ensure reliable information processing.
Develop prompt engineering strategies to improve LLM response quality, accuracy, and consistency.
Build cloud-native AI services using AWS technologies.
Collaborate with engineering teams to enhance AI system performance, scalability, and reliability.
Evaluate emerging AI technologies and recommend improvements for enterprise LLM applications.

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