A2C
AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 6+ month remote AI Engineer position focusing on Full Stack/LLM UI Integration. Key skills include Python, React, and experience with frameworks like Hugging Face. Strong communication and cloud-native experience are essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 21, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Langchain #Hugging Face #Cloud #Documentation #Docker #Python #Kubernetes #React
Role description
Join our client for a 6+ month 100% remote position as an AI Engineer with a focus on Full Stack/ LLM UI Integration. In this role you will focus on the application Layer & UI for LLMs. As an Engineer you will bridge AI models with Intuitive front-end experiences.
Key Expectations:
• Experience building front-end or full-stack applications that interface with LLMs.
• Familiarity with frameworks like Hugging Face, Ollama, LangChain, or similar.
• Proficient in modern web technologies (React, Next.js, Node.js, Python).
• Able to design and develop E2E applications where users interact seamlessly with AI models.
• Bonus: Experience with prompt management, chat interfaces, and UX for AI-driven applications.
General Requirements
• 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.
Join our client for a 6+ month 100% remote position as an AI Engineer with a focus on Full Stack/ LLM UI Integration. In this role you will focus on the application Layer & UI for LLMs. As an Engineer you will bridge AI models with Intuitive front-end experiences.
Key Expectations:
• Experience building front-end or full-stack applications that interface with LLMs.
• Familiarity with frameworks like Hugging Face, Ollama, LangChain, or similar.
• Proficient in modern web technologies (React, Next.js, Node.js, Python).
• Able to design and develop E2E applications where users interact seamlessly with AI models.
• Bonus: Experience with prompt management, chat interfaces, and UX for AI-driven applications.
General Requirements
• 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.
