AI/ML Model Optimizer

3 semanas atrás

Fortaleza, Brasil beBeeEngineer Tempo inteiro

Job Title: AI/LLM Engineer

About this role:

We are seeking a skilled AI/LLM Engineer to join our team

Job Description:

This is a unique opportunity to work on building and optimizing RAG models for search across large-scale medical and scientific documents. You will be responsible for pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate.

You will work on semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning LLMs for textual RAG use cases. This is a hands-on experimentation and development role, with deployments to non-prod environments and collaboration with DevOps for production rollout.

Requirements:

  • 1+ years of experience as a Search Engineer or AI Engineer
  • Search Technology Experience – OpenSearch, building scalable search systems
  • 2+ years of Python development experience, including API creation, model training, testing, and general backend programming
  • Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval
  • Strong communication skills – able to work independently while providing clear updates to the team

Preferred Skills:

  • Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
  • Exposure to RAG architectures, specifically textual RAG use cases

Project Overview:

Our team is building backend features for an existing Retrieval-Augmented Generation (RAG) service. We are looking for a skilled engineer to help us improve our RAG models and optimize their performance. If you have experience working with large-scale data, developing complex algorithms, and collaborating with cross-functional teams, we would love to hear from you.

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