I will build a production ai agent backend with rag and tool calling

G
gowinder
G
gowinder
Gowinder
build a production ai agent backend with rag and tool calling
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build a production ai agent backend with rag and tool calling
Full Screen
Full Screen
build a production ai agent backend with rag and tool callingbuild a production ai agent backend with rag and tool callingbuild a production ai agent backend with rag and tool calling

About this gig

I build agent systems that hold up when the model misbehaves - not chatbot demos.


Relevant work:

- Led the backend of an ERC-8004 research-agent platform: users create, configure and run research agents, with automated datasource reconciliation, parameter normalization, code generation and a run-test evaluation loop. Agents run on Cloudflare Workers and Containers.

- Built an LLM-driven derivatives trading system on an Agent/Worker architecture - LangChain for strategy decisions, workers for execution. A user trading through it took first place in the WEEX AI Trading competition finals.


What you get:

- An agent with real tool calling (not just function stubs), plus retries and failure handling

- Retrieval over your own documents when the agent needs to know things

- An evaluation loop so you can change a prompt and actually know if it got better or worse

- Clean TypeScript or Python, with tests


I have been building with LLMs since 2024 and work fully AI-assisted myself, so I know where agents break: tool schemas, state, retries, context bloat.


Tell me the task your agent must do and where it is failing now - I will tell you if it is fixable or needs a rebuild.


  • AI engine

    • GPT
    • Langchain
    • Claude

  • Programming language

    • TypeScript

Get to know Gowinder

Gowinder

nestjs, jsredis, postgres, rabbitmq, microservices, python, golang

  • FromChina
  • Member sinceAug 2024

  • Languages

    English, Chinese
Highly versatile software engineer with over 20 years of experience, transitioning from early career expertise in online game development (PC, browser, mobile) focusing on server-side engineering (network protocols, high concurrency, multi-threading) to the last decade specializing in web services, cloud computing, system architecture, CI/CD, containerization (Docker, Kubernetes), and big data. Proficient in multiple languages, including C/C++ (foundational), Go (primary mid-career), and Python (for tooling, ML training/inference with PyTorch), with current focus on TS/JS.

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