**Job Title:** Artificial Intelligence Engineer
We are seeking a highly skilled AI/LLM Developer to join our team. As an AI/LLM Developer, you will be responsible for building and optimizing Retrieval-Augmented Generation (RAG) models for search across large-scale medical and scientific documents.
Your primary focus will be on pre-processing and embedding over half a billion documents to ensure they are searchable and contextually accurate. You'll also work on semantic chunking strategies, improving the automated evaluation pipeline, and fine-tuning LLMs for textual RAG use cases.
This role involves hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout.
Required Skills and 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
Key Benefits
* Familiarity with AWS infrastructure (IAM, VPC, S3, etc.)
* Exposure to RAG architectures, specifically textual RAG use cases
In this role, you will have the opportunity to work on cutting-edge technology and contribute to the development of innovative solutions. If you are passionate about AI and machine learning, we encourage you to apply.