AI/LLM Engineer
We are seeking a highly skilled AI/LLM Engineer to join our team in building and optimizing RAG models for search across large-scale medical and scientific documents.
As an integral part of a small, focused team, you will be responsible for developing and fine-tuning LLMs for textual RAG use cases, improving the automated evaluation pipeline, and enhancing semantic chunking strategies.
The ideal candidate will have expertise in OpenSearch, Python development, API creation, model training, testing, and backend programming. Familiarity with LangChain and AWS infrastructure is also desirable.
Priorities for this role include:
* Ability to work full-time hours on a contract basis
* Strong communication skills
* No health benefits provided
* Paid on a monthly basis
The successful candidate will possess:
* 1+ years of experience as a Search Engineer or AI Engineer
* Experience with 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
A strong understanding of textual RAG architectures and their applications is essential. Exposure to RAG architectures specifically textual RAG use cases is beneficial.
This is an exciting opportunity to work on a Retrieval-Augmented Generation service, building and optimizing RAG models for search across large-scale medical and scientific documents. If you are passionate about AI and LLMs, we encourage you to apply for this challenging and rewarding role.