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$
USD
I will build llm middleware and orchestration for your b2b saas
Nick Saperov
About this gig
Are you building an AI-powered B2B SaaS, but a simple API call to ChatGPT or Claude Sonnet isn't enough?
Investors don't fund basic wrappers. To build a defensible product, your AI must access proprietary databases, trigger external APIs, and perform multi-step reasoning without hallucinating. You need an Enterprise Reasoning Layer.
I am Nick, a Solutions Architect specializing in Applied AI. I build advanced LLM orchestration systems and secure pipelines connecting models directly to your business logic.
What I engineer:
- RAG Pipelines: Securely connecting LLMs to your PDFs, Notion, or NoSQL databases.
- Custom AI Agents: Building agents with "Tools" to execute actions (e.g., querying Stripe, updating CRMs).
- LLM Middleware: Structuring Next.js/Node.js backends for orchestrationhandling rate limits, dynamic routing, and precise JSON parsing.
Send me your requirements, and I will architect a production-ready AI brain for your app.
Get to know Nick Saperov
Nick Saperov
Solutions Architect, Nextjs, AI Middleware, Cloud DevOps
- FromThailand
- Member sinceOct 2024
- Avg. response time4 hours
- Last delivery1 year
Languages
English, Russian
I am a Solutions Architect & exited SaaS founder specializing in scalable backends, applied AI, and cloud infrastructure.
Is your AI-generated MVP (Cursor, v0) crashing? Struggling to scale? I build strict, production-ready systems.
Core expertise:
• MVP Rescue: Refactoring broken AI-generated Next.js code.
• Applied AI: Enterprise RAG pipelines & custom LLM agents.
• Serverless: Scalable DB architecture (Firebase/Supabase).
• DevOps: CI/CD, Docker, and secure AWS/GCP setup.
Stop fighting spaghetti code and broken builds. Let's build it right.
My Portfolio
FAQ
Do you use LangChain?
I evaluate tools based on performance. While LangChain is popular for prototyping, I often write custom LLM orchestration logic using native SDKs (OpenAI/Anthropic) to ensure minimum latency, precise error handling, and zero bloat in production environments.
What LLMs do you work with?
Primarily the industry leaders: OpenAI (GPT-4o), Anthropic (Claude 3.5 Sonnet), and Google (Gemini 3.1 Pro). I structure middleware to be model-agnostic, allowing you to swap models easily.
Will you build the frontend UI (the chat interface)?
This Gig focuses on the "Brain" — the backend LLM Middleware and API endpoints. However, if you are building on Next.js, we can discuss frontend integration as part of a custom order.
Is my data secure?
Yes. I design architectures where sensitive user data is handled securely via your own API keys. I do not store your data on external servers unless utilizing a dedicated vector database you control.
