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LLM Engineer
Summary by AIEngineer.careers
LLM Engineer is a LLM Engineer role (full-time). with Databricks. in REMOTE, WORLDWIDE. Compensation shown: $46K–$72K (est.). Imported listing (source: jquasar.42web.io). Apply on the employer's site (jquasar.42web.io).
Imported listing (source: jquasar.42web.io) · Apply on jquasar.42web.io
REMOTE · WORLDWIDE
$46K–$72K (est.)
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jquasar.42web.io
KDCI Outsourcing is seeking an LLM Engineer to design, fine-tune, and deploy large language model solutions tailored to specific business needs. The role involves building evaluation harnesses, implementing RAG pipelines, and monitoring production performance while collaborating with product and engineering teams.
Responsibilities
- Design, fine-tune, and optimize large language models for specific use cases
- Build and maintain evaluation harnesses to measure model quality and safety
- Implement RAG pipelines and prompt strategies
- Monitor model performance in production and iterate on improvements
- Collaborate with product and engineering teams to integrate LLM features
Requirements
- 3+ years of hands-on experience with large language models and NLP
- Strong understanding of transformer architectures (GPT, BERT, LLaMA)
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience with fine-tuning, prompt engineering, and hyperparameter optimization
- Track record of deploying ML/LLM systems in production environments
Nice to Have
Databricks
San Francisco · US · 17116+ employees
Databricks is the data and AI company offering a unified platform for building, scaling, and governing data and AI applications. It is based on an open lakehouse architecture.
