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Fiverr Pro
English
$
USD
I will build a multi agent ai agentic app with llm orchestration
Agile Developer
Level 2
About this gig
You want to build a real AI agentic app that thinks with the user and not just a chatbot wrapper with a prompt taped to it.
I build production-grade agentic AI applications where an LLM reasons through goals, calls tools, executes actions across your APIs, maintains memory, and handles failure gracefully. Think systems in the same class as Claude Code or Devin for your domain.
What I deliver:
- Agentic loops with planning, reflection, and self-correction
- Tool use orchestration across APIs, databases, and file systems
- RAG pipelines with vector databases for grounded responses
- Multi-agent architectures for complex workflows
- Persistent memory and structured output with guardrails
How I'm different from other service providers: I build agent systems, not chatbot UIs. You get planning loops, retry logic, tool selection, and state management the hard parts that make agents work in production. Deployed, documented, and integrated with your existing stack.
Stack: Claude, GPT, LangChain, LangGraph, vector DBs, Python, Next.js
Message me with your use case. I'll tell you if an agentic approach fits and how I'd architect it.
Get to know Agile Developer
Agile Developer
Empowering Businesses through Innovative SaaS Solutions and Web Apps
Level 2
- FromGermany
- Member sinceApr 2020
- Avg. response time1 hour
- Last delivery1 week
Languages
English, German
Passionate application developer with a strong background in designing, coding, and implementing progressive web applications. Skilled in utilizing modern technologies and frameworks to deliver user-friendly solutions. Committed to staying current with industry trends and best practices to consistently deliver innovative and effective solutions. Dedicated to delivering exceptional user experiences and achieving project goals on time and on budget.
Among my clients
Wacom
Internet Software & Services
My Portfolio
FAQ
What's the difference between a chatbot and an AI agent?
A chatbot responds to messages. An AI agent reasons through a goal, decides which tools to use, executes multi-step actions (API calls, database queries, file operations), and self-corrects when something fails. If your use case requires autonomous decision-making, you need an agent.
What LLMs and frameworks do you work with?
Claude, GPT-4, open-source models, LangChain, LangGraph, and custom orchestration frameworks. I'll recommend the right stack based on your use case, budget, and latency requirements.
Can you integrate with my existing codebase and APIs?
Yes. Your agent connects to your real systems — your database, your auth layer, your third-party APIs. I don't build sandboxed demos. You get production code your team can maintain.
What do I need to provide before we start?
A brief description of your use case and what "done" looks like. Access to relevant APIs or documentation if the agent needs to interact with your existing systems. I handle architecture, implementation, and deployment.
How is this different from an n8n or Zapier automation?
Workflow tools follow fixed if-then logic. An AI agent handles ambiguity — it can interpret unstructured input, decide between multiple approaches, recover from errors, and complete tasks that don't fit a rigid flowchart. If your process requires judgment, not just routing, you need an agent.
