Job Opportunity:
We are seeking a highly skilled and experienced AI/LLM Engineer to join our team in building backend features for a Retrieval-Augmented Generation (RAG) service.
The successful candidate will be responsible for developing and optimizing RAG models for search across large-scale medical and scientific documents, including pre-processing and embedding over half a billion documents.
Key responsibilities include hands-on experimentation, model development, and backend engineering, with deployments to non-prod environments and collaboration with DevOps for production rollout.
Strong communication and teamwork skills are essential for this role.
* Search Technology Experience: We require expertise in OpenSearch and scalable search systems.
* Programming Skills: 2+ years of Python development experience, including API creation, model training, testing, and general backend programming.
* LangChain Experience: Familiarity with LangChain for building LLM workflows using tools, memory, and retrieval is necessary.
* Experience: 1+ year of experience as a Search Engineer or AI Engineer.
This role requires focus and demands strong communication and teamwork skills. Additional nice-to-have skills include familiarity with AWS infrastructure and exposure to RAG architectures.