Jobs via Dice
AI Engineer Full Stack / LLM UI Integration
Role:
AI Engineer Full Stack / LLM UI Integration
Location:
Remote - Only EST and CST
Experience:
10+
Visa:
H1b, -EAD, L2 & TN
Focus:
Application Layer & UI for LLMs
This engineer 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 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.
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Engineering and Information Technology
Industries
Software Development
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AI Engineer Full Stack / LLM UI Integration
Location:
Remote - Only EST and CST
Experience:
10+
Visa:
H1b, -EAD, L2 & TN
Focus:
Application Layer & UI for LLMs
This engineer 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 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.
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr