
Applied ML Engineer (LLMs & RAG)
Alldus, San Francisco, CA, United States
This role is a combination of research and engineering. We are looking for someone who's a talented software engineer at their core, but has contributed to AI research, especially in the field of RAG, agents, and LLMs.
Role
Build AI powered product features
Evaluate and enhance the accuracy and consistency of GenAI outputs
Research and develop semantic retrieval systems using RAG, knowledge graphs, etc.
Work on challenging, unsolved research and engineering issues related to LLMs
Qualifications
Deep expertise with LLMs
Experience conducting research at a top lab or university
Experience with knowledge graphs, RAG, LLMs, search, etc.
Past experience at (or a passion to join) an early stage startup
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Research and Engineering
Industries
Software Development
#J-18808-Ljbffr
Role
Build AI powered product features
Evaluate and enhance the accuracy and consistency of GenAI outputs
Research and develop semantic retrieval systems using RAG, knowledge graphs, etc.
Work on challenging, unsolved research and engineering issues related to LLMs
Qualifications
Deep expertise with LLMs
Experience conducting research at a top lab or university
Experience with knowledge graphs, RAG, LLMs, search, etc.
Past experience at (or a passion to join) an early stage startup
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Research and Engineering
Industries
Software Development
#J-18808-Ljbffr