AI Engineer - Full Stack / LLM UI Integration
Posted Today by 1761723489
Negotiable
Outside
Remote
USA
Summary: The AI Engineer role focuses on integrating AI models with user-friendly front-end experiences, specifically for large language models (LLMs). This position requires expertise in building full-stack applications and familiarity with various frameworks and modern web technologies. The engineer will be responsible for designing end-to-end applications that facilitate seamless user interaction with AI models. Strong communication and collaboration skills are essential for success in this fast-paced environment.
Key Responsibilities:
- Bridge AI models with intuitive front-end experiences.
- Build front-end or full-stack applications that interface with LLMs.
- Design and develop end-to-end applications for user interaction with AI models.
- Collaborate across engineering, data, and product teams.
Key Skills:
- Experience with frameworks like Hugging Face, Ollama, LangChain, or similar.
- Proficient in modern web technologies (React, Next.js, Node.js, Python).
- Strong grounding in Python and/or modern software engineering practices.
- Experience in cloud-native environments and containerization (Docker, Kubernetes).
- Strong communication and documentation skills.
- Ability to work in fast-paced, experimental environments.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
AI Engineer Full Stack / LLM UI Integration
Location: Remote
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.