Job Title: AI/LLM Engineer
We are seeking a skilled AI/LLM Engineer to join our team. In this role, you will be responsible for building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
About the Role:
- You will work on semantic chunking strategies to improve the automated evaluation pipeline.
- You will fine-tune LLMs for textual RAG use cases.
- You will collaborate with DevOps for production rollout.
Requirements:
* You must have 1+ years of experience as a Search Engineer or AI Engineer.
* You must have Search Technology Experience – OpenSearch, building scalable search systems.
* You must have 2+ years of Python development experience, including API creation, model training, testing, and general backend programming.
* You must be familiar with LangChain for building LLM workflows using tools, memory, and retrieval.
Additional Skills:
* Familiarity with AWS infrastructure (IAM, VPC, S3, etc.) is a plus.
* Exposure to RAG architectures, specifically textual RAG use cases, is a plus.
What We Offer:
* This is a contract position, requiring full-time hours (10AM - 6PM BRT).
* The ideal candidate will start within 2-3 weeks.
* Paid monthly, with no overtime.