Full-Stack AI Engineer
Beroe · Remote
Source and collection record
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Employer requisition: full-stack-ai-engineer
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Collected role description
Focus: Building the bridge between LLM capabilities and production-grade applications. Role Overview: The Full-Stack AI Engineer is responsible for the end-to-end development of internal tools and client-facing AI features. You will not just “call an API”; you will design the architecture that makes AI useful, reliable, and fast. Job Responsibilities: Develop and maintain robust web applications that integrate seamlessly with various LLMs and Vector Databases. Implement advanced RAG (Retrieval-Augmented Generation) pipelines to ground AI outputs in proprietary data. Optimize front-end interfaces for “AI-first” user experiences – ensuring low latency and intuitive human-AI interaction. Requirements: Expertise in modern frameworks (e.g., React, Next.js) and backend languages (Python, Node.js). Deep familiarity with AI orchestration frameworks like LangChain, LlamaIndex, or Haystack. An “AI-Pilled” mindset – you use AI to write, test, and debug your code to achieve 10x productivity. Experience: From fresh graduates to experienced professionals
Collected experience requirement
No experience required