What are the responsibilities and job description for the Applied ML Engineer (LLMs & RAG) position at Alldus?
My client is an early stage startup that bringing general intelligence to government contracting. This company has exceptional market demand, a world-class team, and competitive compensation.
They're using generative AI and autonomous systems to transform the way things are done in a variety of government related initiatives.
This role is a combination of research and engineering. We are looking for someone who's a talented swe 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 in LLMs
Qualifications
- Deep expertise with LLMs
- Experience conducting research at a top Lab or Univeristy
- Experience with Knowledge Graphs, RAG, LLMs, Search etc
- Past experience at (or a passion to join) an early stage startup
Salary : $170,000 - $225,000
