Mid-Level LLM Engineer Wanted
We are seeking a highly skilled Mid-Level LLM Engineer to join our team of experts in building cutting-edge Retrieval-Augmented Generation (RAG) services.
About the Role
This is an exciting opportunity for a talented Search and AI professional to take on a challenging role that involves:
* Developing and optimizing RAG models for search across large-scale medical and scientific documents
* Pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate
* Hands-on experimentation, model development, and backend engineering
* Deployments to non-prod environments and collaboration with DevOps for production rollout
Requirements
To be successful in this role, you will need:
* At least 1 year of experience as a Search Engineer or AI Engineer
* Search Technology Experience – OpenSearch, building scalable search systems
* Over 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
* Excellent communication skills – able to work independently while providing clear updates to the team
Nice to Have Skills: Familiarity with AWS infrastructure (IAM, VPC, S3, etc.), Exposure to RAG architectures, specifically textual RAG use cases.
Benefits
* Full-time contract position with a competitive salary
* Paid monthly, no overtime required
* CLT only (no remote work)
* Ability to start within 2-3 weeks
Please note that we require strong communication skills and ability to work independently.