A2C

Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills required include Python, cloud-native development, Docker, Kubernetes, and experience with Large Language Models.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 21, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Science #API (Application Programming Interface) #Model Deployment #Databases #Cloud #Documentation #Docker #Deployment #Python #Kubernetes
Role description
Role Focus: We’re seeking an AI Engineer to design, deploy, and manage Large Language Models (LLMs) at scale. This role centers on building and optimizing LLM training, hosting, and serving pipelines β€” ensuring models are performant, reliable, and production-ready. What You’ll Do: β€’ Build, fine-tune, and optimize LLMs for real-world applications. β€’ Design and manage model deployment pipelines with API-based serving, GPU orchestration, and scaling strategies. β€’ Monitor and enhance model performance, latency, and reliability in production environments. β€’ Work with vector databases, embeddings, and tokenization techniques for inference optimization. What You Bring: β€’ Strong proficiency in Python and modern software engineering best practices. β€’ Experience in cloud-native development, containerization, and orchestration (Docker, Kubernetes). β€’ Hands-on experience in model training, evaluation, and optimization workflows. β€’ Comfortable in fast-paced, experimental environments β€” rapid prototyping and iteration. β€’ Excellent communication and documentation skills; able to collaborate across data science, engineering, and product teams.