Overview
Remote
Accepts corp to corp applications
Contract - Independent
Contract - 12month(s)
Skills
LLM
Python
docker
kubernetis
API-based serving
GPU utilization
scaling
vector databases
tokenization
embeddings
inference optimization
cloud-native environments
Job Details
AI Engineer LLM Infrastructure & Hosting
Location: Remote
Focus:
- Building, Hosting, and Managing LLMs
- We're looking for an AI Engineer with a deep understanding of how Large Language Models (LLMs) are trained, deployed, and managed.
Key Expectations:
- Hands-on experience building or fine-tuning LLMs.
- Understanding of model deployment and hosting pipelines (API-based serving, GPU utilization, scaling).
- Ability to manage and monitor model performance and reliability in production.
- Familiar with vector databases, tokenization, embeddings, and inference optimization.
General Requirements for All Roles
- Strong grounding in Python and/or modern software engineering practices.
- Experience working in cloud-native environments and with containerization (Docker, Kubernetes).
- Ability to work in fast-paced, experimental environments where proof-of-concepts and iteration cycles are common.
- Strong communication and documentation skills - capable of collaborating across engineering, data, and product teams.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.