AI Engineer Job Description
The role involves building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents, including 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. The role requires hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout.
-----------------------------------
Required Skills & Qualifications
* 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
-----------------------------------
Benefits
This is a fully remote position with a CLT only policy. No health benefits are provided in CLT benefits.
Paid on a monthly basis, no overtime.
-----------------------------------
Project Overview
We are hiring one AI/LLM Engineers to join a small, focused team building backend features for an existing RAG service.