LLM Engineer
Flexor
LLM Engineer
- R&D
Description
What will be on job:
Work with real customer data - error analysis, understanding problems etc.
Develop algorithms
Synthetic data generation
RAG
Fine tuning
Agents
Inference optimization
Write production code
Algorithms in a scalable manner
Data pipelines
Evaluation infrastructure
Must have - 2 types of profiles:
From industry
Passion and knowledge in the domain - up to date with models, techniques etc.
Background with production systems - as a software or LLM engineer - at least 4 years in total
If software background only - needs to have experience with data
Academic
Passion and knowledge in the domain - up to date with models, techniques etc.
At least masters degree - in NLP / LLMs
At least 2 years as a software engineer / algorithms engineer working on production systems in a data environment
Advantage:
Built production LLM application in the past
Past in startup companies