Full Stack AI Engineer
Posted January 6, 2026 (1 weeks ago)
Skills Required
About This Role
We're looking for a Full Stack AI Engineer to lead development of our core platform - transforming REST APIs into MCP servers with AI-powered chat interfaces. This is a senior role requiring deep expertise in both AI/ML and full-stack development.
You'll work at the intersection of LLMs, API design, and SaaS infrastructure. Our platform integrates with OpenAI, Gemini, Claude, and custom models, requiring expertise in prompt engineering, fine-tuning, and RAG architectures.
What You'll Build:
- •MCP (Model Context Protocol) server generation from REST APIs
- •LLM integration layer supporting multiple providers
- •RAG pipelines for context-aware conversations
- •Fine-tuning infrastructure for custom models
- •Real-time chat interfaces and widget embedding
Key Responsibilities
- •Architect and implement API-to-MCP conversion engine
- •Build LLM integration with OpenAI, Claude, Gemini, and custom models
- •Design and implement RAG systems for contextual AI responses
- •Develop fine-tuning pipelines and model optimization
- •Create embeddable chat widgets with custom branding
- •Ensure 99.9% uptime and system reliability
Requirements
- 4+ years of full-stack development experience
- Deep experience with LLMs (OpenAI, Claude, Gemini)
- Hands-on experience with MCP protocol or similar
- Strong knowledge of RAG architectures and vector databases
- Experience with LLM fine-tuning and prompt engineering
- Proficiency in Python and TypeScript
- SaaS architecture and API design experience
- Experience with AWS/GCP/Azure cloud infrastructure
Nice to Have
- Published work in AI/ML
- Open source contributions to AI tools
- Experience with Langchain, LlamaIndex, or similar frameworks
- Knowledge of speech-to-text and multimodal AI
Benefits
About Botify
Botify
AI / Conversational Technology
Transform Your APIs into AI Chat Interfaces
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