Applied ML Engineer (LLMs & RAG)

Alldus; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

An innovative company is seeking a talented software engineer with a passion for AI research. In this exciting role, you will contribute to building AI-powered product features and enhancing the accuracy of generative AI outputs. You'll work on challenging research and engineering issues related to large language models (LLMs) and develop semantic retrieval systems using cutting-edge technologies like RAG and knowledge graphs. This position offers the opportunity to be part of an early-stage startup environment, where your contributions will significantly impact the development of advanced AI solutions.

Qualifications

• Deep expertise with LLMs and experience in AI research.
• Experience with knowledge graphs and semantic retrieval systems.
• Experience with knowledge graphs, RAG, LLMs, search, etc.
• Past experience at (or a passion to join) an early stage startup.

Responsibilities

• Build AI powered product features and enhance GenAI output accuracy.
• Research and develop semantic retrieval systems using RAG.
• Research and develop semantic retrieval systems using RAG, knowledge graphs, etc.
• Work on challenging, unsolved research and engineering issues related to LLMs.

Skills

LLMs

Research skills

Knowledge graphs

RAG

Search technologies

Education

Experience at a top lab or university

Experience in an early stage startup

Job description

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