Remote AI/ML Engineer - Prompting & LLM Deployment

cAIdence Innovations; United States; Remote; USD 96,000 - 165,000; Part time

Job summary

cAIdence Innovations is seeking an experienced AI/ML Engineer for a remote contract role. You will own prompt architecture, model optimization, data curation, and cross-functional collaboration with founders and product managers.

The ideal candidate has 3+ years in AI/ML, strong skills in prompt engineering, LLM tuning, and engineering robust evaluation metrics. This role offers a high-visibility enterprise environment and flexible remote work.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field.
• Minimum of 3+ years hands-on AI/ML engineering experience.
• Strong operational expertise in prompt engineering and LLM tuning.
• Proficiency with ML frameworks (PyTorch, TensorFlow) and related tools.

Responsibilities

• Architect, design, and optimize prompt engineering workflows for large language models.
• Build data preprocessing pipelines and test harnesses for prompt validation.
• Research and refine prompt templates, few-shot learning, chain-of-thought, and retrieval-augmented prompts.
• Evaluate model outputs, mitigate hallucinations, reduce latency, and optimize token usage.
• Collaborate with AI researchers, data scientists, and software architects.
• Ensure compliance with AI ethics, privacy, and security standards.
• Scale inference and evaluation infrastructure for high-frequency workloads.
• Maintain documentation, prompt libraries, experiment logs, and release plans.

Skills

Prompt engineering

LLM tuning

Generative AI

English communication

Model deployment

Education

Bachelor’s or Master’s in CS/AI/Data Science

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

Job description

cAIdence Innovations is seeking an experienced AI/ML Engineer for a remote contract role. You will own prompt architecture, model optimization, data curation, and cross-functional collaboration with founders and product managers.

The ideal candidate has 3+ years in AI/ML, strong skills in prompt engineering, LLM tuning, and engineering robust evaluation metrics. This role offers a high-visibility enterprise environment and flexible remote work.